{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright (c) 2015 - 2017 [Sebastian Raschka](sebastianraschka.com)\n",
    "\n",
    "https://github.com/rasbt/python-machine-learning-book\n",
    "\n",
    "[MIT License](https://github.com/rasbt/python-machine-learning-book/blob/master/LICENSE.txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python Machine Learning - Code Examples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 6 - Learning Best Practices for Model Evaluation and Hyperparameter Tuning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the optional watermark extension is a small IPython notebook plugin that I developed to make the code reproducible. You can just skip the following line(s)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sebastian Raschka \n",
      "last updated: 2017-04-09 \n",
      "\n",
      "CPython 3.5.2\n",
      "IPython 5.3.0\n",
      "\n",
      "numpy 1.12.1\n",
      "pandas 0.19.2\n",
      "matplotlib 2.0.0\n",
      "sklearn 0.19.dev0\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -a 'Sebastian Raschka' -u -d -v -p numpy,pandas,matplotlib,sklearn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "*The use of `watermark` is optional. You can install this IPython extension via \"`pip install watermark`\". For more information, please see: https://github.com/rasbt/watermark.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [Streamlining workflows with pipelines](#Streamlining-workflows-with-pipelines)\n",
    "  - [Loading the Breast Cancer Wisconsin dataset](#Loading-the-Breast-Cancer-Wisconsin-dataset)\n",
    "  - [Combining transformers and estimators in a pipeline](#Combining-transformers-and-estimators-in-a-pipeline)\n",
    "- [Using k-fold cross-validation to assess model performance](#Using-k-fold-cross-validation-to-assess-model-performance)\n",
    "  - [The holdout method](#The-holdout-method)\n",
    "  - [K-fold cross-validation](#K-fold-cross-validation)\n",
    "- [Debugging algorithms with learning and validation curves](#Debugging-algorithms-with-learning-and-validation-curves)\n",
    "  - [Diagnosing bias and variance problems with learning curves](#Diagnosing-bias-and-variance-problems-with-learning-curves)\n",
    "  - [Addressing overfitting and underfitting with validation curves](#Addressing-overfitting-and-underfitting-with-validation-curves)\n",
    "- [Fine-tuning machine learning models via grid search](#Fine-tuning-machine-learning-models-via-grid-search)\n",
    "  - [Tuning hyperparameters via grid search](#Tuning-hyperparameters-via-grid-search)\n",
    "  - [Algorithm selection with nested cross-validation](#Algorithm-selection-with-nested-cross-validation)\n",
    "- [Looking at different performance evaluation metrics](#Looking-at-different-performance-evaluation-metrics)\n",
    "  - [Reading a confusion matrix](#Reading-a-confusion-matrix)\n",
    "  - [Optimizing the precision and recall of a classification model](#Optimizing-the-precision-and-recall-of-a-classification-model)\n",
    "  - [Plotting a receiver operating characteristic](#Plotting-a-receiver-operating-characteristic)\n",
    "  - [The scoring metrics for multiclass classification](#The-scoring-metrics-for-multiclass-classification)\n",
    "- [Summary](#Summary)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Added version check for recent scikit-learn 0.18 checks\n",
    "from distutils.version import LooseVersion as Version\n",
    "from sklearn import __version__ as sklearn_version"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Streamlining workflows with pipelines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the Breast Cancer Wisconsin dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rows, columns: (569, 32)\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "      <th>28</th>\n",
       "      <th>29</th>\n",
       "      <th>30</th>\n",
       "      <th>31</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>842302</td>\n",
       "      <td>M</td>\n",
       "      <td>17.99</td>\n",
       "      <td>10.38</td>\n",
       "      <td>122.80</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.11840</td>\n",
       "      <td>0.27760</td>\n",
       "      <td>0.3001</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>...</td>\n",
       "      <td>25.38</td>\n",
       "      <td>17.33</td>\n",
       "      <td>184.60</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.1622</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>0.2654</td>\n",
       "      <td>0.4601</td>\n",
       "      <td>0.11890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>842517</td>\n",
       "      <td>M</td>\n",
       "      <td>20.57</td>\n",
       "      <td>17.77</td>\n",
       "      <td>132.90</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>0.08474</td>\n",
       "      <td>0.07864</td>\n",
       "      <td>0.0869</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>...</td>\n",
       "      <td>24.99</td>\n",
       "      <td>23.41</td>\n",
       "      <td>158.80</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>0.1866</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>0.2750</td>\n",
       "      <td>0.08902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>84300903</td>\n",
       "      <td>M</td>\n",
       "      <td>19.69</td>\n",
       "      <td>21.25</td>\n",
       "      <td>130.00</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>0.10960</td>\n",
       "      <td>0.15990</td>\n",
       "      <td>0.1974</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>...</td>\n",
       "      <td>23.57</td>\n",
       "      <td>25.53</td>\n",
       "      <td>152.50</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.1444</td>\n",
       "      <td>0.4245</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>0.2430</td>\n",
       "      <td>0.3613</td>\n",
       "      <td>0.08758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>84348301</td>\n",
       "      <td>M</td>\n",
       "      <td>11.42</td>\n",
       "      <td>20.38</td>\n",
       "      <td>77.58</td>\n",
       "      <td>386.1</td>\n",
       "      <td>0.14250</td>\n",
       "      <td>0.28390</td>\n",
       "      <td>0.2414</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>...</td>\n",
       "      <td>14.91</td>\n",
       "      <td>26.50</td>\n",
       "      <td>98.87</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.2098</td>\n",
       "      <td>0.8663</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>0.6638</td>\n",
       "      <td>0.17300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>84358402</td>\n",
       "      <td>M</td>\n",
       "      <td>20.29</td>\n",
       "      <td>14.34</td>\n",
       "      <td>135.10</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>0.10030</td>\n",
       "      <td>0.13280</td>\n",
       "      <td>0.1980</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>...</td>\n",
       "      <td>22.54</td>\n",
       "      <td>16.67</td>\n",
       "      <td>152.20</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>0.07678</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         0  1      2      3       4       5        6        7       8   \\\n",
       "0    842302  M  17.99  10.38  122.80  1001.0  0.11840  0.27760  0.3001   \n",
       "1    842517  M  20.57  17.77  132.90  1326.0  0.08474  0.07864  0.0869   \n",
       "2  84300903  M  19.69  21.25  130.00  1203.0  0.10960  0.15990  0.1974   \n",
       "3  84348301  M  11.42  20.38   77.58   386.1  0.14250  0.28390  0.2414   \n",
       "4  84358402  M  20.29  14.34  135.10  1297.0  0.10030  0.13280  0.1980   \n",
       "\n",
       "        9    ...        22     23      24      25      26      27      28  \\\n",
       "0  0.14710   ...     25.38  17.33  184.60  2019.0  0.1622  0.6656  0.7119   \n",
       "1  0.07017   ...     24.99  23.41  158.80  1956.0  0.1238  0.1866  0.2416   \n",
       "2  0.12790   ...     23.57  25.53  152.50  1709.0  0.1444  0.4245  0.4504   \n",
       "3  0.10520   ...     14.91  26.50   98.87   567.7  0.2098  0.8663  0.6869   \n",
       "4  0.10430   ...     22.54  16.67  152.20  1575.0  0.1374  0.2050  0.4000   \n",
       "\n",
       "       29      30       31  \n",
       "0  0.2654  0.4601  0.11890  \n",
       "1  0.1860  0.2750  0.08902  \n",
       "2  0.2430  0.3613  0.08758  \n",
       "3  0.2575  0.6638  0.17300  \n",
       "4  0.1625  0.2364  0.07678  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import urllib\n",
    "\n",
    "try:\n",
    "    df = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases'\n",
    "                     '/breast-cancer-wisconsin/wdbc.data', header=None)\n",
    "\n",
    "except urllib.error.URLError:\n",
    "    df = pd.read_csv('https://raw.githubusercontent.com/rasbt/'\n",
    "                     'python-machine-learning-book/master/code/'\n",
    "                     'datasets/wdbc/wdbc.data', header=None)\n",
    "    \n",
    "print('rows, columns:', df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(569, 32)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "X = df.loc[:, 2:].values\n",
    "y = df.loc[:, 1].values\n",
    "le = LabelEncoder()\n",
    "y = le.fit_transform(y)\n",
    "le.transform(['M', 'B'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "if Version(sklearn_version) < '0.18':\n",
    "    from sklearn.cross_validation import train_test_split\n",
    "else:\n",
    "    from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = \\\n",
    "    train_test_split(X, y, test_size=0.20, random_state=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combining transformers and estimators in a pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Accuracy: 0.947\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.pipeline import Pipeline\n",
    "\n",
    "pipe_lr = Pipeline([('scl', StandardScaler()),\n",
    "                    ('pca', PCA(n_components=2)),\n",
    "                    ('clf', LogisticRegression(random_state=1))])\n",
    "\n",
    "pipe_lr.fit(X_train, y_train)\n",
    "print('Test Accuracy: %.3f' % pipe_lr.score(X_test, y_test))\n",
    "y_pred = pipe_lr.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S5G+pB9LHZBxleWQ/ydXLxymokyBSl2K2kqUyg/KQSrGqqxqX2giSBW4abBrDmie1XLWF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\nHzHvA10BFpZ0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/06_01.png', width=500) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using k-fold cross validation to assess model performance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The holdout method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HEzV67wFfuUwbNQlZL5SpspZ4ugSzpi/HgjHWPAjjvvci6uOfxDolvnYWK2Xkdpm5izDY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\nBASBACPw/0aX67YRIMChAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/06_02.png', width=500) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## K-fold cross-validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AoElA4K3Jwh4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI1LGA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NVsxB4IIIAAAggggAACCCCAAAINJKCOXKU4t3Va//rrryf7xP9RwJt1Wtvx8T7UEUAA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\nCCCAAAIIIIAAAggggAAC1QWsH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6wPNqoQIECAAAECBAgQIECAwLwF7r2X3bwPYUcCBAgQ\n6LpAfVIt/7I0xxxXE7AQIECAAAECBAgQIECAAAECBAgQILAwgZtvvnlwe9s4B1efh6vrC3sWexMg\nQIAAAQIECBAgQICAK7x5DRAgQGACBfKEW5ZJ8Ed/9Edl//33z1V/eTqQ6E+lPnma9TrO/+W//Jey\nevXqZkKvec1ryr777tufyRnpOgIZ49iQ9Tref/iHfzhofx8s0M8AAEAASURBVMMb3lD23nvvdY6h\noT8CGeMYcdbreL/iFa8YTOakk04aetviQQeVzgtkjGOgWR8V75NPPrnstNNOnZ+TAY4WyBhHj6xn\nvOOqMCeccMJg51NOOaVss802g3WV/glkjGPkWc94xxVZ3/a2tw0mdeqpp5ZNN3XqZgDSw0od4xx+\nxvuiiy4qf/M3f9M0b7LJJuV973tfdlH2VGC6eP/7v/97+Yd/+IdmZvF1PL6eW/otMCzecUX9aP/S\nl75UzjjjjGaCm2+9XXn0M9fe1rPfM147+rXz/lV8E1v7fexXMec1j2buv1zbXtZuX7vH2luZlo03\nXnOeKR8brbmnadSjXLN9zX9R9nW55drLyg/OWxvv8InXQcytvqJbXe/rPI2bAAECBAgQIECAAAEC\nXRJw1rRL0TAWAgQIrAeB+gRs1Ov1+tam8dQHH3xwec5znrMeRuGQG0qgjm/GO8qIdTwiqTGXQw89\ntDztaU/LVWUPBWaKdyS85RKxPuigg3JV2UOBmeJdJ7z9xm/8RnnUox7Vw1kacgrMJd7PetazyoMf\n/ODcVdlDgWHxju/b0f7jH/94SsLbUUcdVXbcccceztKQU2C6eF944YVTEt6OPvrostlmm+Wuyh4K\nTBfv7bbbbpDwtvGaRJBjjjmmhzM05FpgunivWrVqkPC2xRZbiHcN18N6xjqGHvV85Pfvn/70p4OE\nt00236rs/pgx+Oy9Zp453zWzXjvnX65eU96T7Bb1XF/TFjlvsQyS2jbeZE2O2yZr8t7WlpH8Fklu\ng3Jt914mvm26xVaDhLeYRvyhYXxdj0e9hEW8ViS/1SrqBAgQIECAAAECBAgQmJ+AhLf5udmLAAEC\nvRDIE7B1GfVMfsoTsb2YjEHOKNCOc6y34z3jQXTojcBM8c4r+fVmQgY6rYB4T8szdhuni3e8t+P7\nt2V8BEbFO9rFe3zinDMZFu/6Z3Pfv1NqPMqZ4u3r+XjEOWch3ikxWWXEPR/11/N8PYylRlyJbc28\nY2kSt361Jolr7craBLa4WluJRK81rdF3zRKJbmuv7rZm/Z62KMcx8StiX399l/TWvAT8Q4AAAQIE\nCBAgQIAAgUUXkPC26KQOSIAAgW4KtE/Axi/T4jHWJ2G7GYoNNqo8yRonWjPeG+zJPdEGFxDvDU6+\npE8o3kvKv8GfvI53fk3f4IPwhBtMIOMd37vzF+cb7Mk90QYViFjnI2MdpWU8BTLW7ff4eM52cmdV\nxznr+b3b+3v8XhcZ47qcyHgPEtcimW3jJvmtSYHbKNLg1ia4ZbLb2vKeW5nmSyL2r+pZ7WsZr4e7\n7767xK2qc4mkt3FM7sv5KQkQmF5g5cqV5dxzzy1x9c/1sey3335l//33Xx+HdkwCBAgQIECAQKcF\nJLx1OjwGR4AAgcURqE++Rj1OwOZJ2Fi3jI9AO9bteI/PTM0kBEbFO5Ik4gS7ZbwEhsU7k1nFe7xi\nHbNpxzu/b3t/j1+sR8U7Y+79PX4xz/d3xr7+2Tze45bxEsh4Zyne4xXfUbMZFu+IvWU8BSLe+d6O\nMn9GH8/Z5qwiRe2ehLa8ktuaK72tTeqKW5WuTepeu762Pa/y1hwhbme6tnJPOV5FvAZi7vnIrwkx\ny7Um4zVfsyFAYLTAZz7zmfKiF72o3HrrraM7LXDLLrvsUm644YYFHsXuBAgQIECAAIH+CUh461/M\njJgAAQKzEoiTabHUZX0SNn9hnttndVCdOivQjmOst+PtF6idDd+cBzZdvPOXK36hNmfWTu7QjnUM\nctj7W7w7Gb45D2q6eMe2/AWqeM+ZtpM7jIp3xLeOt+/fnQzfnAc1Xbwj5vn+Fu8503Zyh2HxjoFm\nrDPeUVr6L9COd65nvP183v8Y1zPI+A4r870dMc/t9b7jVo/ErbUpb5H8tiaBbc3/v1rzZW2juLJb\nnJOKi7vFpJvEr0iCi4ZIAlub7NYkfkXbmC0R+/iDhUx2yzLaG7NWOWbTNx0CBCqBeN+/4hWvWK/J\nbvF0v/jFL6pnVSVAgAABAgQITI6AhLfJibWZEiAwQQLtE6uxXj/qk7ATxDK2U51NvDPmY4swQROb\nLt75S7Xo44pA4/miaH8tz5iLt3iPp8BkzWrU+1sC1Pi9DupYZz3i7Oe18Yt1zChjnGXGOcvxnPXk\nziriHEsd7/x5zdfz8Xtd1PHOOGc59vGORLXm5R7/RNJaJHOtTXqbkux2T9ibbZns1pSxz9pkt7X/\nxuqgds9e/SzidRHxj9uY5iO/JkTZJPrdM7X2ej9nbNQECIwS+Pa3v11+8pOfjNq8aO2PfOQjF+1Y\nDkSAAAECBAgQ6JPA2j+n6tOIjZUAAQIE5i0QJ9Ly5GuUcQIu2izjI1DHc1i8x2emZhIC7XhnzOO9\nPfa/YJnAl8CoeOfX8wkkGespt+Od37+9v8cz7MPinbH29Xw8Yx6zirjHo35/R90yngIZ74x5vLfF\ne/xjXcc76pbxE6jf23W8x/L9fU9CWp2W1iRv3ZPItvZKZhs3iW+R4DZ4bLzJvVd2q5Pdoj5+L4lm\nRvk1Pr/He/+PaaA7Pq2rr7663HnnnYOfOTs+3LEc3rJlyzbIvH7zN39zgzyPJyFAgAABAgQIdE3A\nFd66FhHjIUCAwCIK5Am1USdg4wRc9lnEp3WoJRLIWE4X7yUamqddDwKj4h3tcVJdgsR6QF/CQ4r3\nEuIvwVOL9xKgL+FTjop3DMnX8yUMzHp66lHxjnbxXk/oS3jYYfGOOGe8o24ZHwHxHp9YzmUmEfd8\n1O/vfD3M5Vi96xsJcGvyOO8p1gw/EtiiYa1JzOfeq5mt6dtKdpsy3zjImCwR+/g8Ho9NNtlk8PrI\n10lMM+r32ozJxE2jEwL1154LLrigvPe97y2f+tSnyhZbbNG87nKQXn8psX7Lb33rW0OfYNttty07\n77zz0G1zbdxnn33Ka1/72rnupj8BAgQIECBAYCwEJLyNRRhNggABAqMF8kRHnlirS79gGe3W9y11\nnGMusS7efY/q6PHX8c5Yi/dor75vEe++R3Bu4xfvuXn1vXcd7/g6no++z8v4Rwu0Yx7rlvEVaMfb\nz2vjG+uYWcY7v5aL92TFe2y/njfZbWuSteI1HiG9J9ttbfM92W+R+DYkf21tgs3axLdm1/gnlmGd\n127p7b/xfs+vAXUZE4p1yUa9DW1nBz7sa060ff7zny/Pf/7zyyc/+cmy5ZZbDsZf9/d6HLAsemVU\nwtsJJ5xQTjzxxEV/PgckQIAAAQIECEyagFuaTlrEzZcAgYkWiJMZ8ahPuNcnOCYaZwwnPyzeYzjN\niZ5S/f7NeEeZ7/GJxhnDyYv3GAZ1mimJ9zQ4Y7hpunjX28Zw6hM5pYxplPXD9+/xfDlMF+/cNp4z\nn8xZZUzr93bUM/llMlXGc9YZ45hdO+6T8vV8kNPWJKxFklvcxjTKYY/4NcSQZLcxfHnkez5fB/Vr\nZQyna0odEMivQTmUfM1leyS9HX300SNvb5r9cn/l4gisXLmyLF++fOjBHv/4xw9t10iAAAECBAgQ\nIDA3AQlvc/PSmwABAr0UqE9cZD3KrPdyUgY9VKAd14xxu33ozhp7KZAxjsFnnLPs5YQMeloB8Z6W\nZ+w2ivfYhXTaCYn3tDxjt1G8xy6k005IvKflGbuN4j12IZ12QhnvKOvHtDv1fWN1RbZIemsS36Kt\nedyT2Na05tbctiYRLvunQXWsbBqHMl8LMZd8jbTr4zBPc1h6gfbrK197WeYIP/e5zzVXervzzjuH\nfq2qj5P7KBcmEMlukfQ2bDnwwAOHNWsjQIAAAQIECBCYo4CEtzmC6U6AAIG+CtQnLvKkR93W13kZ\n93CBOrbiPdxonFrFe5yiOfNcxHtmo3HqId7jFM2Z5yLeMxuNUw/xHqdozjwX8Z7ZaJx6iPc4RXPm\nuQyL98x79bxHJrjdM40piWy5rSqnbI99clvPGUYNP14T+cg+9esk25QEFiJQv6aynq+7YVcWPeus\ns8oLXvCCKVd6y/4xjjzGQsZk33sFRt3OdI899ig777zzvR3VCBAgQIAAAQIE5i0g4W3edHYkQIBA\n/wTqkxgx+vZ6/2ZkxNMJtOPrxNV0Wv3fJt79j+FcZiDec9Hqf1/x7n8M5zKDdrznsq++/RMQ7/7F\nbCEjjnhbJkegHe/2+uRITMZM2/Ftr4+tQiSuVUsmtrXLqsvaZLcpDeO3Usc/6vX6+M3WjJZaIF9f\n+VrLcti4Iuktbm+6YsWKKeeF62MM20/b3AVGJby5utvcLe1BgAABAgQIEBglIOFtlIx2AgQIjLHA\ndCc+xnjaEzs18Z6s0Iu3eE+WwGTN1vtbvCdLYLJm6/0t3pMlMFmz9f4W77EXyKu1tZLfpsx7Nn2m\n7ND/Fe/9/sewyzOI11e95OstruxWP+o+Wa+T3vJKcLl/9GkfO/dTzk1g2bJlQ3d4/OMfP7RdIwEC\nBAgQIECAwNwFJLzN3cweBAgQGBsBJzDGJpSzmoh4z4pJJwIECBAg0CkB3787FY71PhjxXu/EnXoC\n8e5UOAyGAIHFEKgT2+r6Yhy7J8eIr+2+vvckWGMwzHy91WUksa1evbp55BQf+chHlmOOOSZXy9ln\nn92sx5XeJL0NWBatsnLlynLRRRcNPZ6Et6EsGgkQIECAAAEC8xKQ8DYvNjsRIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQ2HACmVCZZTxz1Osru2USW45qs802Kx/+8IfXSXp74QtfOOX2ppk4l8fM\n/ZVzE1i+fHmJpLdhi1uaDlPRRoAAAQIECBCYn4CEt/m52YsAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIDAkghkglqWmfTWvsJbDG7TTTedNuktk+TyWLFP1C1zF/jWt741dKe99tqr7LDDDkO3aSRA\ngAABAgQIEJi7gIS3uZvZgwABAgQIECBAgAABAgQIECBAgAABAgQIECBAYBEFMtlKufbWuMMcgjvb\n63q0RdJaJrtFvb1IemuLrJ/1ZcuWDT2w25kOZdFIgAABAgQIEJi3gIS3edPZkQABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAYK4CmbRVl3M9xiT2T6+Ye9ajzKu71Ulvw3xGJb0de+yxze1NY//6uPk8\nw46lbbjAqCu8uZ3pcC+tBAgQIECAAIH5Ckh4m6+c/QgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBGYtkMlU9Q7Zphx9Zbe2TZ2YNizZLa70NmqR9DZKZuHtK1euLBdddNHQA7nC21AWjQQIECBAgACB\neQtsOu897UiAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgBoFI2KqXWP+nf/qncv755zdXFKu3\nqY8WqB2znslvdeLblVdeOfoga7Zk0lt0OuOMM5q+Z599dokrvX3sYx8rW221Vdl443uvmbHRRhs1\ncYrSMlpg+fLlJZLe2ku4HXDAAe1m6wQIECBAgAABAgsQkPC2ADy7EiBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIjBbIxKzokfUozzrrrPLhD3949I62rFcBSW+Lz7ts2bKhB917773L9ttvP3SbRgIE\nCBAgQIAAgfkJSHibn5u9CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEphHIBLfokvUo8zHNrjZt\nAAFJb4uL/K1vfWvoAe93v/uVc845Z+i22TRuu+225QlPeEJxhb3ZaOlDgAABAgQITIqAhLdJibR5\nEiBAgAABAgQIECBAgAABAgQIECBAgAABAgSWQKBOcMtbcGYCXAzniU98YjnooIOWYGTj/5S77bbb\ntJOU9DYtz5w2jkp4+8Y3vlGOPPLIOR2r3fnMM88sRx11VLvZOgECBAgQIEBgYgUkvE1s6E2cAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQILB+BDKhLZPd6jKS3url2c9+djnxxBPrJvUNKCDpbeHYK1eu\nLMuXL1/4gUYc4Y477hixRTMBAgQIECBAYDIFNp7MaZs1AQIECBAgQIAAAQIECBAgQIAAAQIECBAg\nQIDA+hDIZLf62NEWiW7xWL169eAWp3Uf9aUTyKS3Y445ZjCIs88+uxx77LFlxYoVTdzqpMXoNCzO\ng50nrHLhhReWVatWrbdZ77vvvuvt2A5MgAABAgQIEOijgIS3PkbNmAkQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECHReoE6SyHslu8Whf5a3jU5mI4Ul6m3+YR93OdP5HvHfPvfbaq+y33373NqgRIECA\nAAECBAgUtzT1IiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEFgvApnoVl/dzRXe1gv1ohw0k97i\nYGeccUZzzLzS28c+9rGy1VZblY03vvd6GhtttFFzpbcoJ3kZlfC24447lt13333eNNtss0155zvf\nWSbdd96AdiRAgAABAgTGVkDC29iG1sQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhtOoL7FZSa6\nxbNHslus55XdstxwI/NMcxGQ9DYXrbV9RyW8vfa1ry1veMMb5n5AexAgQIAAAQIECEwrcO+fYEzb\nzUYCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECcxPIxLf6Cm933313kwA3tyPpvSEFMuntmGOO\nGTxtXultxYoVgyTGjG90ivokLnfddVdZvnz50Kk//vGPH9qukQABAgQIECBAYGECEt4W5mdvAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgACBIQKZDFWXcXU3tzQdgtXBJklvswtKJLutWrVqaOcDDzxw\naLtGAgQIECBAgACBhQlIeFuYn70JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQqgWFX+oq2vMpb\n3uK02kW1owKS3mYOzKjbme65555lp512mvkAehAgQIAAAQIECMxZQMLbnMnsQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgMJ1AJr3VV3fLRLe4wlvULf0QmC7p7c4772xuZVrHO2aV6/2Y4cJGOSrh\nze1MF+ZqbwIECBAgQIDAdAIS3qbTsY0AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBBAsOS3iYp\nIWpBeB3ZOZPenvGMZwxGdPbZZ5ff+73fa5IXM8aDjRNUWbZs2dDZSngbyqKRAAECBAgQILAoAhLe\nFoXRQQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBGqBOqkt61Hmld7qvurdF7jgggvKN7/5zcFA\nN9tss/KiF71oEM9MeqtjPeg8ppW77rqrXHTRRUNnJ+FtKItGAgQIECBAgMCiCGy6KEdxEAIECBAg\nQIAAAQIECBAgQIAAAQIECBAgQIAAAQItgUx+iuY6IWqjjTZq9bTaZYG4befTn/708rOf/awZZlzx\n7f3vf3+JK75FAmPGc+ONNx7UuzyfxRrb8uXLy6pVq9Y5XHgccMAB67RrIECAAAECBAgQWBwBCW+L\n4+goBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECQwQy0a3eVCfC1e3q3RMYlux26qmnliOPPLJJ\ndsuEt0jyqmOd65kM172ZLXxEYTNs2Xvvvcv2228/bFNn2q666qryjne8o8SV+2LZZ599yumnn96Z\n8RkIAQIECBAgQGA6AQlv0+nYRoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgsCgCmQwl2W1RODfI\nQYYlu51yyinl8MMPL6tXry5xRbd8ZFyjHOcktxp+2bJl9eqg3uXbmd52221Nottf//VflzvvvHMw\n5ltuuWVQVyFAgAABAgQIdF1AwlvXI2R8BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDawwLBk\nt3e9613lsMMOa5LdIuFtk002GVzlLRLfMtktyw085A3+dKOu8NbFhLe4El/chvaNb3xjuf7669ex\nOvDAA9dp00CAAAECBAgQ6KqAhLeuRsa4CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCyBwLBk\nt7e97W3l0EMPHSS7RQJVPCK5rf2YhNuZ3nXXXeWiiy4aGp2uJbyde+655TWvec3g9qXDBi3hbZiK\nNgIECBAgQKCrAht3dWDGRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAhhUYluz2lre8pTzp\nSU8ameA23QgjGW4cl+XLl5dVq1atM7W40t0BBxywTvtSNHz/+98vz3ve85pb0F5wwQWDIWy66brX\nRJHwNuBRIUCAAAECBHogIOGtB0Gaboif/vSny8knn1zOOeec6brZRoAAAQIECBAgQIAAAQIECBAg\nQIAAAQIECBAgQGBagWHJbnELzIMPPnid/epEtrq+TscxbVi2bNnQmT384Q8v22677dBtG7LxE5/4\nRNl3333LmWeeOXjauPLescceWz7/+c8P2qIS7fvvv/+UNisECBAgQIAAgS4LSHjrcnRmMbZXvvKV\n5YQTTmges+iuCwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIF1BIYlu73+9a9vkt0iISofuWOs\n51LXs23cy/AatnTldqZxC9P6CnTPfOYzy/nnn18++tGPlttuu23K0LuSpDdlUFYIECBAgAABAtMI\nrHu92mk62zRZAt/5znfKJZdcUrbZZpty2GGHle22226yAHo62+uvv76cd955ZeXKlc1f48SHFAsB\nAgQIECBAgAABAgQIECBAgAABAgQIEOiSQH1FsNWrV09JzOnSOPs+lkhEG3b7yva8hiW7/emf/mmT\n7Ba36JzuMV0iXDzPuCbDdTnh7eqrry7XXHNNE+YnP/nJ5e1vf3s55JBDBmFvj70rt2AdDFCFAAEC\nBAgQIDCDgIS3GYBms/naa68tb37zm8uFF17Y/MD/yEc+spx++um9/gH+1FNPLX/4h384mP6ee+5Z\nLr300rL55psP2lS6J/CTn/ykPOIRjyi33357M7j4APqlL32pSVjs3miNiAABAgQIECBAgAABAgQI\nECBAgAABAgQmVaBOgorfscTDsvgCj370o5vfX0135GHJbq973evKE5/4xEGi2yabbFLajzoJLpPe\nMq65Pt3z9nnbXXfdVS666KKhU4i5f/3rXx+6ba6N++23X9l+++3nultzS9UXvOAF5bjjjivPetaz\n1tm/fTvWAw88cJ0+GggQIECAAAECXRaQ8LaA6MRfH5122mnlT/7kT8qtt946ONK//du/lfe85z1l\nyy23HLTNtvKZz3ymfOUrXynf+973yh133FH22muvcuSRR5bf+q3fGvwFzlVXXVU+8pGPNIfM573u\nuuvKO9/5zsHTxFXZ4nan810+//nPT9n1iiuuKJdffnnZZ599prRb6ZZAfIDKZLcY2S9/+ctyzjnn\nSHjrVpiMhgABAgQIECBAgAABAgQIECBAgAABAhMrkAlR9RXeJhajAxOPZLcjjjii3HLLLc1o4mpw\nkex28MEHNwlusV4/Iukt1jP5LZLeMrmtLjswtfU6hLgIRn270PrJXvWqV9WrC6oftuYOTF/+8pfn\nfIwddtihfOITnxi5X/sKbxLeRlLZQIAAAQIECHRUQMLbPANz2WWXlZe//OXlX//1X+d5hKm73XTT\nTeXoo49ukt3qLeeee26TVHf44YeXL37xi82mf/mXfymvf/3r624lrjLXbvvd3/3dstNOO03pN9uV\nu+++e52uM334jDHEY6uttipxG834sGOZn8B8LYfFbX4jsBcBAgQIECBAgAABAgQIECBAgAABAgQI\nEFg8gUyGiiPW9cV7Bkeaq0Be2W1Yslud5LbZZps1SW5RZr1OeovfB+XV3iK2k7C0E8bW15xvuOGG\nRT903O70xhtvHBw3YuaWpgMOFQIECBAgQKAnAhLe5hioSCh617veVU466aRy5513znHv0d2PP/74\nJtktPhT8wR/8QTn00ENLJJhdcMEF5cMf/vCUy03HJaRjeyzf/OY3S1w2Oa7oVv/1Rfzlxo477jj6\nCWfY8pSnPKV89rOfHfTafffdy0Mf+tDBervyta99bTCm2PbiF7+4fOADH2h3sz4LgYVYxmsjPmzW\nf1X01Kc+dRbPqgsBAgQIECBAgAABAgQIECBAgAABAgQIEFg/AnUSVCa7xR/x/9f/+l+b33GsXLmy\nxO9f8hG/H4k7mEQ50x/jr58Rd/Oo01nU2+LqY+9973unncRsruyWCW5Rbr755kOT3TLRbdiV3mIA\ndeynHVDPNobxhljiAhOLvbST9eL3f9ttt91iP43jESBAgAABAgTWq4CEtznwxv3sX/aylzVJaPVu\nD3nIQ0rcZnS+y49+9KNy5plnNrufcMIJ5W1ve9uUQ731rW8tkQSVy0EHHTS4stwee+zRPHf8wLtY\nV5uL5/njP/7jsv/++5e4kt22225bnvnMZ5Ytttgih7BOGVeoq5f6L0PqdvWZBRZiueeee5aLL764\nfPWrXy2rV68uv/Zrv9bEceZn1YMAAQIECBAgQIAAAQIECBAgQIAAAQIECCy+QJ3wlPUo4w/3444x\nkewWf9gff8gdCW9xbjuS3eqEtzqZa/FH2O8jpk1dzpS8NFOyW17FrU54q+t59bdhtzXtt+bsR79i\nxYrZd15AzyOPPHIBew/fNX7fWS/1BTXqdnUCBAgQIECAQJcFJLzNMjpxtbLjjjuu+aCVu8SHsUhG\ni6utPfrRj87mOZff/e53B/tEglJ7iQ986+MH2vbz1OvxYfOII45oHnW7evcFHvawh5V4WAgQIECA\nAAECBAgQIECAAAECBAgQIECAwFIKZIJbjCHq8cgrgUWZt8KMMhPc6r51EtdSzqNLz50mOaZcjzIf\ntXv2y3K2yW55Rbcos95Oesv45VXeMsb5/Fnmc49T+d/+238rX//618vll1++3qYVv398yUtesujH\nb1/hTcLbohM7IAECBAgQILABBCS8zRI5bisaf1UUS/yAHrcgfcc73lF23nnncskll8zyKMO7xVW5\ncvngBz9YjjrqqOYDX7YpCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJ9EojfpWQyVtTrRyZIRRlX\nC2snu+V6JnDlcfo0/w0x1nSpncIuXIct80l2yyS3THqLeOWV3TLhrY5t1Cdhibskff/73+/lVCW8\n9TJsBk2AAAECBAi0BCS8tUBGreYP6HEFtr/9278tcVvRxVoe+tCHlgMOOKCcf/755VOf+lRzVbWT\nTjqpPPnJT16sp3AcAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAGF2gnQ0UyViZMZbJblLFE39ge\nCVyRuBVLJnM1K/5pBOpEt2hIryyHJbzNN9ktE90i8S3ilI9Mdovnikf+Hi1D1F7PduXSClx99dXl\nxhtvHAwi4hTJexYCBAgQIECAQN8EJLzNMmKvec1ryktf+tJyzDHHjPzLmFkeap1u8cNkXEHumc98\nZrniiivKl7/85XLIIYc0t0l95StfWV784heXLbfccp391nfDf/zHf5Qf//jHZYsttihPeMITyo47\n7jjlKX/wgx+Um2++uWlrX7L51ltvLbF/e9lpp53KXnvt1W4euX7ZZZeVs846q1x11VXlhhtuaMay\n6667lkc+8pHl2c9+donjzWWJy0v/9Kc/Ldtvv31zK9r4QJbLF7/4xfK5z32uXHfddWWXXXYpT3rS\nk8pv/dZvlfgQN91y++23N5et/va3v93se9NNN5X73e9+zTxjrjHW+ip+w441H8thx6nb4nW17777\nlrgl7lyX+LAT7uEfXhHPuIVvuDzucY8rT3va08p2220318M2TqP844P4ueeeW7761a828d5tt93K\n4x//+BKX0t5jjz3m/Fx2IECAAAECBAgQIECAAAECBAgQIECAAIGlEYjz03HON8r6kclRUcb5+Uie\nin6xRL9oj0S3+gpvsS37RH3Sl9oi6vFIsyzr332E1/pMdsv4xvNEvS6bFf90SmDZsmVTxhO/x4rf\nmVkIECBAgAABAn0TkPA2y4g9/elPn2XP+XV7xCMeUb7zne+Ud77zneW9731vueWWW8ry5cvLy1/+\n8nLyySc3CXFxdbkNtURiWCTd5RLz/8IXvpCrTaJbJHLdfffdg7a6ct555w29Cl78JVAkU2277bZ1\n93XqMfdIMIyr3o1a4gPb7//+75e/+Zu/Kdtss82oboP2r33ta02SWzZ89KMfLccee2xjHYmMkfBW\nL6ecckp529veVt7whjfUzU09PkB+5jOfKX/3d39XvvSlL410iM7xAS+SFiO2kcTVXiJpcD6W7eMM\nW48EtWuvvbY5cTBse7vtmmuuaV5zEev4YDxqiZMQxx13XHn3u989K/s4zij/2PbJT36y/Mmf/EmT\n8Bnr7SV8/vmf/7lxam+zToAAAQIECBAgQIAAAQIECBAgQIAAAQLdFshktkx0i/PPcZ45l9yeCVtR\nZmJXJnVlX+W9CYDDkt1Wr1495cIN8TuCI444ovldSNiF+wknnFCe+MQnDq7WFm15Jbd2mbc0jT7x\niN/NZOJixC0esbTLptE/nRNwO9POhcSACBAgQIAAgXkK3PtpYp4HsNviCcQVs97+9reXN73pTeVj\nH/tYk+h2ySWXlLh62rOe9axy4YUXDk2YWrwR3HukO++8896VNbX2+vXXXz9tkteUnauVlStXlrgC\n2nQJb5FE9sd//MfrPGd1mKYaH9r+4R/+ofz7v/97+fjHP17222+/dpcp63fdddc66zGWQw89tHz3\nu9+dsi1X4qpy7eUnP/lJeeELX1i+8Y1vtDcNXY8PnB/4wAeahK0PfehD5aijjprSb76WUw4yYiWu\nphYfZnffffcRPe5tjqSz//Sf/lP52c9+dm/jiFokOr7vfe9rrsj2wQ9+sPz6r//6iJ73Ng/zj9fV\n8ccf3yR03ttz3dqll17aPMdHPvKR5kqI6/bQQoAAAQIECBAgQIAAAQIECBAgQIAAAQJLLRBJT5mo\nlmPJpKgoM+GtTmKr2zPhLbfnsbLMY05ymRZplGbxO5NMdquv8FbfvjIS1v70T/+0SXaLPrGeCW1R\nzifZLeMbMYm6pdsCEt66HR+jI0CAAAECBGYvIOFt9lYbrGfcgvKla65uFlcve8UrXlFOO+205qpo\nkTQVf3UzbMkPOMO2rY+2uMRxJOj9/Oc/n9Ph4xakD3rQg4buEx/Ejj766PIv//IvU7bHrTQPOuig\n5laacbvRSPy76KKLyqpVq5p+kRQY288+++wpV6WbcpAhK/F8v/M7vzMy2S12iQ977SWSEtvJbnHL\n2b333ru5jWm4/PCHPyzf+973Brd8jWPcdttt5T//5/9cDj/88ClXRZuvZXtc812P5LU/+qM/ahLY\n2seID6cPf/jDy84779xcgfAXv/jFlC6RjPnkJz+5udJdvFbnssSxnvOc56xzZb24Cl4kwrUT7+K2\nqtH/+9///oy3iJ3LOPQlQIAAAQIECBAgQIAAAQIECBAgQIAAgcUTiPPK8TuLOvkp6pHslklamZCV\n7bEtE7eijCX7Zr1p9M8goTB8wirKTHaL8/3xGPa7jWh7/etfXw4++OAmFrEej0x4k+w2GS8uCW+T\nEWezJECAAAECkyCwbjbPJMy6J3OMD3jveMc7moS3GPKwq5BtscUWzWx+9KMfbdBZxfNeeeWVg6Sk\nuAVmJHPl8pSnPKW8//3vz9VBGQlv+UF20HhPJa7WVie7Rb+Yf1ztrf5gHN3j9q9xO9LLLrus2XvF\nihXNLTHjam+zXf7iL/6iSUrL/pH89rKXvazEbUAjoe7Tn/50edrTnpabB2X911Bxdbi47ezzn//8\nEomK9RJXs4vxx21RMzkvrg4XCXPRlst8LXP/dvm4xz2uSa5rt49aP/3009dJdttnn33K//yf/7NJ\nJLzvfe/b7BofmMMlrgT31re+dfChOtrjdqRhEHazXeKvyDJhMmIdV5eL28dmQmQktsX6Jz7xicEh\n47n++q//usTtZi0ECBAgQIAAAQIECBAgQIAAAQIECBAg0A+BOMefyW054myL88Nx7jeTtzLRLcpY\nssz9Jr2sfaIebpHkFobxe6W2c3hFYtsb3/jG5spu0SfM64Q3yW6T8aq66qqrmgts1LM94IAD6lV1\nAgQIECBAgEBvBCS8dSBUcdWyHXfcsblUdHs4d9xxx6AprgTWXh7wgAc0SV+RhHXNNdcMkoXa/dbH\nelx5LR6x3P/+95/yFFtvvXVztbMpjdOsxDz/x//4H4Me8YHrc5/7XDnyyCMHbXUlkrrir1DiB/FI\njIrlm9/8ZjnzzDPLc5/73LrryHpcgS2Xv//7v2+uppfrj370o5urv+V6XcbtZSNRKxLxhiXEZd/4\ngPjmN7+5xNxOPvnkbC5xW9M64S02LKZl2M12ibH92Z/92ZTuT3/608sZZ5xRMtEtN8YH4Mc+9rHN\n42EPe1g57rjjBre1javXRRLc//pf/yu7z1hmsltcES9uSfsbv/EbU/aJ54j2P/iDPyj/+I//ONgW\niZRvectbmvfMoFGFAAECBAgQIECAAAECBAgQIECAAAECBDojEElXkYwVZS7tc9eZ8BYJW3H+uZ3w\nlvtJeEuJe5P/MuktzOIRtpHwlt7hmUsktsXvKuLKbrFE3zrZrb6VaV7tLcrsE8eKfeKRMcsyjpfP\nGXVLtwXaV3eL3zvm7/m6PXKjI0CAAAECBAisKzD7zJh199WySAKvfe1rm9tGRtJV3LYxl/hLi0gq\nyuWpT31qVgdl3G4yl7jC2vnnn19+/OMfNwlC8SGnL8tf/uVflmuvvXYw3Lid66hkt+x0n/vcZ0qS\nXLRHItRcl0j4msvtOGNskYw3XbJbPYa4kll8MMwl4pNXfMu2pSrjamm1+x577NHMrZ3s1h7fi1/8\n4ilJfLE9Xr9XXHFFu+u065Hs9pWvfGWdZLfcKT4on3TSSVOuChi3Qj3vvPOyi5IAAQIECBAgQIAA\nAQIECBAgQIAAAQIEOi6QCVKZOBVJVPHIpKooM9kq/pjcY/YGwxLW8ncSUf75n/95ibvVpHF9Nbd0\nTvsso288JLt1/I01x+G1E94OPPDAOR5BdwIECBAgQIBAdwQkvHUgFpH0E8ltkbC2/fbbl912263E\nldv23HPP8qUvfakZ4atf/ermA0l7uK961asGfz3z2c9+tsQPp7vvvnt56UtfWm666aZ2906ux60/\n3/Wudw3GFh+iIslpNsvv/u7vTrm6XNzqtL4q3kzHOOyww8qb3vSmmbotaHv8dUzEJJf4K6urr746\nV5esjCus1Veei4H89//+36ck5003uEjGrG/jGnE87bTTpttlyrb4IP2pT32q7L///lPa2ysPfvCD\n10l+jFvDWggQIECAAAECBAgQIECAAAECBAgQIECguwJ55a+6jPpMSW+ZmBXJV3U9k7GUmw2SA9Mn\nyvqRyYTvfOc7S1xMoW2WSW/R3k56y+NIduvue2u+I2snvLmd6Xwl7UeAAAECBAh0QeDey051YTQT\nOoZM7vrIRz7SXOEtbnGaS1xO+MQTTywveclLsmlKuc8++zS3n4xkuZ/+9KeDbdEet0ntwxJXBbv9\n9tsHQ42r1j3oQQ8arE9XiQ/Ge++9d6nNfvjDH5b99ttvut2abZFo+H/+z/8ZJAzOuMMCOkTS1pVX\nXjk4QiS8xbiXcrn44oubW7PmGOKqbscff3yuzlhG/6OPPrp88IMfHPTN28sOGqapPOEJTyiHH374\nND3u3dS2qq9Kd28vNQIECBAgQIAAAQIECBAgQIAAAQIECBDokkAkuOWtTbOM8WV73q40b9GZY8/2\nXFeuFaidoh6O9d1+cvuWW25Z3v3ud5dDDjmkudVpesbvVDIZLpPlMhkuE92ilOw2nq+4dsKbK7yN\nZ5zNigABAgQITIqAhLcORHqXXXYp733ve8vf/u3flksuuaS5xeTWW2/dXOEtrvYWH1imW17wgheU\n5z3veU1C1TXXXFN23XXX8qhHPWrG/aY75obc1k6SesxjHjOnp6+vnhY7/uAHP5hVwttjH/vY8pCH\nPGROzzXfzvWV0OIYcTW0pV4uv/zyKUOIK63FbWLnskTCWp3wFvbrY4n3Qb24wlutoU6AAAECBAgQ\nIECAAAECBAgQIECAAIHuCmRy27DfdbS3ZWJWd2eztCPLhLYsYzRpGG2R/BaPpzzlKeXuu+9uHpHk\nFtuiXzwyoS0S3TLpTbLb0sZ1Qzx73GnqxhtvnPJUEt6mcFghQIAAAQIEeiYg4a1DAYu/mIkrk83m\n6mTtYce+cRWs9pWw2v26uN5OeDvvvPNmfeWvmM/3vve9KdOKK7xt6GXFihUlkg3jymP5uPnmm5sP\nkTGW9hw39PiGPV874S2uQjfXpZ2Itr7sI4mzXm677bZ6VZ0AAQIECBAgQIAAAQIECBAgQIAAAQIE\nOiyQSVkxxKjXS65nUla9TX2qQCa6RVkveeW2SHbLPrE9bLMt6tmvTnCLxLe86psru9Wq41VvX91t\njz326M2dosYrEmZDgAABAgQILJaAhLfFknSceQu0E6/idp/xmO8SH9Q21PKNb3yjnHbaaeXjH/94\nueOOO2b9tO0Po7PecRE7tt1nexvZegjthLdbbrmlRKLfYt9Od0PGtJ6fOgECBAgQIECAAAECBAgQ\nIECAAAECBAgsjkCd2BZHzPXFOfrkHCXcMqktEthiiUS1aMsyfwcR2yPhLZZ2wlsmucX596jHI/rH\nI/rWj9y/OZB/einQTnhzdbdehtGgCRAgQIAAgUpgw2UGVU+qSqAW+NGPflSvLqget+R87nOfu6Bj\nzGbnuJLZUUcdVS6++OLZdO9kn7h8db3MJ0lthx12qA/R1CPxbz7HWudAGggQIECAAAECBAgQIECA\nAAECBAgQIEBg7AQikSqWTMrKCWZ7ritnFqiT0iJRrZ3wlld3iyNF3+yTyW6Z6CbZbWbrPvQ455xz\nmrsQDRvrWWedNaU5bnn7gQ98YEpbrDzucY8rj3nMY9Zp10CAAAECBAgQ6JqAhLeuRWQCx9O+Sthv\n//Zvl1e/+tXzkth3333LNttsM699Z7tT3Lr08MMPL1deeeWUXR7+8IeXQw45pMR87n//+5etttpq\nsP3d735355Ljdtlll8H4onLDDTdMWZ/NynXXXTelW8z5gQ984JQ2KwQIECBAgAABAgQIECBAgAAB\nAgQIECBAoC0wlwS3dnJc+1iTsh5mYZF2UcYjEtmiPR6RvBZLtNUJb7EefdtJbpLdxuPVE8luRx55\n5Kwnc+aZZ5Z4tJcjjjiixLEsBAgQIECAAIGuC0h463qEJmB8e++995RZxgeygw46aEpbV1ZWrVpV\n4of9OtktEt3e8573lKc97WmDD5nt8cYtT+urweWH0Xa/Dbm+1157TXm6dvLalI0jVtpX54tYdmFu\nI4armQABAgQIECBAgAABAgQIECBAgAABAgR6KOC889qgZbJbluGSyW5R5hLtkeyWtzON9uwb/eok\nt1iPR2yvH7lPHlPZbYFPfepTizLAhzzkIYtyHAchQIAAAQIECKxvAQlv61vY8WcUaCdexRXUurp8\n61vfKpdddtlgeLvuums5++yzyx577DFo60ul7d5OXpvNPNqxeuhDHzqb3fQhQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIE5ikQiWmZ9BaHqJPdYj0T17I916PMBLcss63eL+tRWvohsNNOOy14oHEHpVe8\n4hULPo4DECBAgAABAgQ2hMC9f+6xIZ7Nc0yMwN133z3rubav8Hb55ZeX1atXz3r/Ddnx61//+pSn\ne97znrfek93mYjllcDOstBPevva1r5Ubb7xxhr2mbv6///f/Tml42MMeNmXdCgECBAgQIECAAAEC\nBAgQIECAAAECBAgQILA4ApGcVi+5nklrmcQWV3DbdNNNB4+8jWm0ZT365n5R5iOOH3VLvwTe+ta3\nDm5rG8mQ83ncfvvt5dd+7df6NXGjJUCAAAECBCZWQMLbxIZ+cSd+3/ved8oB55I4FQlv8QErlxtu\nuKF8+MMfztVOlf/2b/82ZTyPecxjpqwvxspCLOfy/I961KOmfGhduXJl+cd//MdZH+LCCy8sX/zi\nF6f0f85znjNl3QoBAgQIECBAgAABAgQIECBAgAABAgQIECCweAKZjFaXmawWSWyZ0FaXmeiW2zMx\nLpPeYnT18RZvtI5EgAABAgQIECBAYP0ISHhbP64Td9QHPvCBU+Z81VVXzfoqbdtuu215+ctfPmX/\nt7/97eWXv/zllLYurGy//fZThtG+peeUjfesfOMb3yjnnXfesE1D2xZiOfSAIxr3WHMb1mOPPXbK\n1ve85z3l5ptvntI2bCX+Mij+WqheItntkEMOqZvUCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfUk\nkIludVkns2XSWya6xXpuz31iaJLd1lOAHJYAAQIECBAgQGC9CUh4W2+0k3XgdpJWJE194QtfmDXC\nn/3Zn5Xttttu0P/SSy8tz3/+88tNN900aJuuctttt5WPfvSj5Yc//OF03Ra87YADDphyjDPOOKP8\n4he/mNJWr5x11lnlGc94Ronx1UskjI1aFmo56rjD2iNpbbPNNhtsCr9IWvvRj340aGtXVqxY0STK\nxdxziQ/J73jHO3JVSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECKwngUxQy8Nn8lpesS2T2tpl9muX\ncZz2MfPYSgIECBAgQIAAAQJdFNi0i4Pq4ph+/vOfl09/+tNDr1r2k5/8ZJ0h/9M//dOURKLoEElB\nv/mbv1nat6xcZ+ceNmyzzTYlbpF5ySWXDEb/+7//++V973tfOfjgg8vdd99dvvKVrzS3wIy2Oskq\ndthll13KiSeeWE444YTB/meeeWZZtmxZiau9HXjggeXhD3/4lP2uu+665pif//znyyc/+ckm8exN\nb3pTOemkkwbHWOzKk570pOZDXyasRYLY0UcfXf7+7/++POQhDxk83Y9//OPyrne9q5xyyikl+w42\nzlBZqOUMh5+yOW4nG1fX+7u/+7tB+3e/+93yxCc+sbzsZS8rv/7rv14OOuigsvXWW5cLLrig/Md/\n/Ed5//vfX84///xB/6i85CUvKfvuu++UNisECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA+hGIBLX4\n/cOoRLVh7dmWZY6svZ7tSgIECBAgQIAAAQJdFZDwNsvI/NVf/dWcEqkiWWjY8sY3vrH8+Z//+bBN\nvW97wxveUF784hcP5nHjjTc2V2kbNNxTiaS0vfbaq91cXvWqV5VzzjmnSYrLjZE4FslUsUSS3J57\n7lniCmPXX399WblyZXYblJFYtz6Xxz3uceXVr351efe73z14mriK28Me9rAmIW/33Xcv1157bYmk\nsRxLjDuS/04//fTBPjNVFmo50/Hr7W95y1vK8uXLy1e/+tVBc1zhLdpjiQ+6m266aVm1alWz3v7n\n+OOPbxL72u3WCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgQ0jMJuktXaf9vqGGalnIUCAAAECBAgQ\nILBwAbc0naVhJDEtxnLDDTcsxmE6eYzf+Z3faa4INtPg4gpmw5YtttiiSXj73//7fw+9Cl4kXF12\n2WXlmmuuGZrsFlfOe/aznz3s0IvaFrfuPOyww6YcM8Z28cUXl7PPPrtceOGFg2S3uOpbJJK98pWv\nnNJ/pg+RC7Wc8mQzrOy8887ly1/+cvmLv/iLsvnmm6/TO/5CbFiy2/bbb18+9rGPldNOO625Atw6\nO2ogQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE1ptA/K6h/fuGbBtW1gNp71dvUydAgAABAgQIECDQ\ndQEJb7OM0KGHHlo23nhhXLH/IYccMstnXNpukQQVV/XK5QEPeEBWR5Zxy9avfe1r5c1vfvOUW4/m\nDvHhKa50dr/73S+bhpZxdbxIHvu93/u95kpw07lvt9125cgjjyynnnpqufLKK0vccnTUMp85DTtW\nJIWde+655SMf+cjQK9XFPpHUd9xxx5Vvf/vbTRLgDjvsMEgmC6e4het0y2ws48p3wywf+MAHDg4d\nPve5z30G66MqYfy6172u/L//9//K05/+9BLJh6OWmEvE5jvf+U554QtfOKrbOu0L8b///e8/5UP7\nbF6P6wxAAwECBAgQIECAAAECBAgQIECAAAECBAgQGEOBTG6bzdTm0nc2x9OHAAECBAgQIECAwFII\n3JvRtBTP3qPnfNGLXlTiMSlL3LrzlltuKXFFukh+mm2CUSTJvWXNrTDjlpyXX355ufTSS8vPfvaz\nsttuu5UDDzxwaILWMNNI2vrQhz7UbLrzzjvL9773veZY1113Xdlxxx1LJE/tscce5RGPeMSsExHn\nO6dh44sPhL/927/dJHzFFee+//3vN/ON+T/4wQ9uEu/qK9lF20033VTiNq8x/khEm2mZr2XcnjRu\nBbt69eombsOu2jbquR/72MeWL3zhC+WOO+4o3/zmN0t4x5hjLLvuumuJW7ZGHGN9rstC/J/xjGc0\nr8cYS7gOS/Sb63j0J0CAAAECBAgQIECAAAECBAgQIECAAAEC4yQQv7uwECBAgAABAgQIEJgEgbln\nrUyCijk2ApFYtOeee85LI5Ks9tlnn+YxrwNUO2255ZYlErHisdBlIXMa9txxZbS4bWk8jjjiiGFd\nBm1xpbXZXG1tsMM9lblaxpge9KAHtQ8zp/Wtt966PPWpT53TPrPpvBD/SBKcTaLgbMahDwECBAgQ\nIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQD8FFnaPzn7O2agJECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAoIcCEt56GDRDJkCAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAwCQKSHibxKibMwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ\nIECAAAECBHooIOGth0EzZAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEyi\ngIS3SYy6ORMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCHAhLeehg0QyZA\ngAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAkCkh4m8SomzMBAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgR6KCDhrYdBM2QCBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAhMooCEt0mMujkTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ\nIECAAAECBAgQIECghwIS3noYNEMmQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg\nQIDAJApIeJvEqJszAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEeigg4a2H\nQTNkAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQITKKAhLdJjLo5EyBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoIcCEt56GDRDJkCAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAwCQKSHibxKibMwECBAgQIECAAAECBAgQIECAAAECBAgQ\nIECAAAECBAgQIECAAAECBHooIOGth0EzZAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg\nQIAAAQIECEyigIS3SYy6ORMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCH\nAhLeehg0QyZAgAABAgSapIz/AABAAElEQVQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngMAkCkh4m8SomzMBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgR6KCDhrYdB\nM2QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhMooCEt0mMujkTIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECghwKb9nDMhkyAAAEC60ngn//5n8sll1yy\nno7usOtL4Fe/+tXg0FGPxy9/+cvBY/Xq1eXuu+8uUUZ7Lh//+MfLsmXLclXZE4GZ4p2xjrLu+6EP\nfah85Stf6cksDTMF6hhGPR71+7uOd+4T5emnn1523XXXukm9BwLTxTu+hufX84h7vZx66qnlvve9\nb92k3gOB2cb75z//+ZTZnHLKKWXrrbee0mal+wKzjfd11103ZTJ/+Zd/WTbZZJMpbVa6LzDbeF9x\nxRWDycTX+JNPPnmwrtIfgXa842e1aIsyv3dHefHFFw8mdccdd4j3QKNflYx3lhnviHHU8+fz888/\nfzCxVXfeXr73rx8arKuMn8DtN149fpMyIwIECBAgQIAAAQIECHRcYKM1H87v/S15xwdreAQIECAw\nO4H80h5lPOLEa55oX7VqVVm5cmW56667msdzn/vccumll87uwHoRIECAAAECBAgQIECAAAECBAgQ\nIDBU4KEPfWj57Gc/W7bYYovmsfnmm5fNNtusbLrppk0SeySyb7TRRs0jDhB1CwECBAiMj0D7dzP5\nRxD172fidzSRJP+yl72sfOELXxhM/jWveU159atf3XzPiO8d8YjvG/E9ZOONN24e+T3E948BmwoB\nAgQITLCAW5pOcPBNnQCByRXID0UhcL/73W9yIcycAAECBAgQIECAAAECBAgQIECAwCIJ5Hm2+tzb\nIh3aYQgQIECAAAECBAgQIECgEnBL0wpDlQABAuMu0D7ZFusnnnhik/R26623NleBy9tx5NXh8i+S\nwqauj7tVn+ZXxyVimrFrxyza77zzznLttdeW+9znPmWXXXZpphn7xNIu67amg386ITBTvOvtK1as\naOIdtzrcaaedmvG345zrsbGud2KyBjHl627Ep/3+ruP9i1/8olx//fVlhx12aB51TDO2WdbbMHdH\noI5nHe+o5/fnHO3tt99ebrjhhrLjjjuW7bffvmmOfqNiXLfnMZRLKzAq3jGq+r0e63Fb0xtvvLHs\nvPPOZbvttoumJtZ1XEfVm87+WXKBucQ7fi6/6aabmltTx89ssUR8R8W4bl/yiRpAIzCXeN98883l\nlltuaT6TbbPNNs3+4t2vF9J84n3/+99/cHtq8R6veMds8jUR37vje/gDHvCAsuWWWzYTFe9+xbse\nbf39NuOYZVx1J67AEz+nHX/88et8z673rY+pToAAAQIECBAgQIAAAQLzF5DwNn87exIgQKBXAvXJ\ntTwhF+Vuu+1WXve61w1ucZqX087boMaJ2jxZm2WvJj4Bg824ZJlJEVlGez6iLeIe6/k6iBOzsdSX\nRY969Mlt0dfSDYGISyxZZpyjjCXeu/U28W5YevtPxjLLjHMd99gWj2gbFe/6tjnt97X3d3deHhnn\nLOt41zGPEdfxzphGGfHMMuvRP+OcZbRZllYg45zlqHjH9nhE7KIcFu+6LWaVcc5yaWfq2UMg45xl\nvqdjPev1ayDjHWU88n0dpXh3/zWVcc4yYxzr8bNaLHVbxjvjXMddvPsf74h7/RgW7zrO+Z6PmUe9\nLpsV/yypQP2+jvjkeznKeMSSbdG3HcP6fZ71jH+775JO1JOvI1DHJ+rxGStvMxe3nItbl0ZiY9zK\nNLbnIw+U++e6kgABAgQIECBAgAABAgQWJiDhbWF+9iZAgEAvBOqTalnPE29xYjUfcaIufgETZS55\nYj7W88RublN2QyDjkmXEM06wR4wzflFGW55Ij/X6NdCuR7/ok/1ju6UbAhGXWLKs4x3tEav8RUvG\nNdpjifXon+1Zj1K81xp17d+Mc5YZqxxnrOcvzjOuuW26eEef2F6XzYp/llQg45xlxjtjGe0Z79gW\n7dEWZT6iPZYos0+sx/a6bFb8s6QCGecsI14Zz6jX38vrgWYs6xhnrHNbu6z3V18agYxzlhnj/Pks\n4x2ji231EvGMn8+jjId41zrdrGecs6zjHTGM9myLet0WMxLvbsZ11KgyzllmPPN9HWVsy+1xnKjn\nez3jHe3RFo84Riztsmn0z5IKZBwjNvmItqhH7LIeg8y+OeDsk/uJd8r0o4y4xZLxi/duPCKOWdYx\nrfvnDLMt15UECBAgQIAAAQIECBAgMH8BCW/zt7MnAQIEeieQJ+XyBFxd5om6TTdd+60h+8YJ2jxJ\nm2XvJj7mA8641GX9S5Vor9drjohzvA4y3lmPMpZor8tmxT9LKlDHOQZSxzfWIxkm4h1L9m1W1vyT\n8RXvFOl+mTGsy4hvvkcj3lGP7dknZ1XHu12PPt7fKdWdMmNYlxHv+B4dZca+He98T0fZjnU7zrne\nnVlP7kjqOIdCrNcxjvd3xj6317GOttiebRn7aM84ZxltlqUVGBXvfD9H7LOeZcYvYxtlPGLJtqhn\nvyyjzbK0AtPFu4511jN2UeZDvJc2hnN59na8M67R3q7Xx81YRxlfz2OJuvd3rdS9+qh417GOPvnI\nGURsY6m/d4t36vSjzBjGaON9GrGMMs6jRT3X8+t3lrFfvW8/ZmuUBAgQIECAAAECBAgQ6L6AhLfu\nx8gICRAgsCCBPKmWJ9iyzBNveVIuTtDlCdroE/XoU5+kzRO7CxqQnRddIONSlxnLaKvr8eTZL18b\n8RqoXxfRJ2IfS/bJsmn0z5IKZPzqMmMcA4t45nr2ifY6xnU9tol3KHRzyRjWZdQjxrHMFO+IdcS3\nLqMeS7tsGv2zpAJ1nGMgsZ6PfF/XZR3DfB+L95KGcE5PPireGeP82SwOmu/5qLdj7f0dKt1fZop3\nxj1mUsc74lvHON/j2R79o16XzYp/llRgtvHOr/E52IxrxjnLbI9+4p1a3Snb8c73cL6vs5wu3vm1\nPeKbcRfv7sS4HslM8Y7t9WugHcc6xnW93a9+TvVuCNRff6Men8Xi/Rpl/NzWTnyLPu1HHeduzMoo\nCBAgQIAAAQIECBAg0F8BCW/9jZ2REyBAYEaBOLEWJ1vbJ9jihFyelMsTc3nyPfrGFUXyqiLZHk8W\ndUv3BOq4ZD3K/MVKltFWb89fpETMox5L3Rbrsa0umxX/LKlAxjAGkfUo85cq8d6t13Ow7ThHu3in\nTnfLjHGMMOt1fCPu+ahn0Y53rLcf2T/aLd0QyBjHaLIeZcY8y3y/R7+MX8a3fl/n1/bsU/ePumVp\nBTLGMYqsZ4zrst6WsWzHO+Mex8o+7XqsW5ZOIOMYI8h6vJejHo+6nn0ilrEt4psxzjLjnGXsU9dj\n3bJ0AhnjGEHW6xjX9dyeoxXvlOhPWccw6u1HxDuWjHs9s4x3lLHkezzq9Xu6rsc2y9IJZLzrMurt\nOOfrIEaa8YsyHhnnLOs+7XqsW7ohMCyOcU4tz6ttttlmU5Leoj1jnLGvj9GNWRkFAQIECBAgQIAA\nAQIE+isg4a2/sTNyAgQIzFkgT6zGCbd45Em5PFGb2yNhJk7W5gn53J7lnJ/YDutVoB2X+kR7PHFs\nj5hmPeIcbVG2H/G6iCXah5VNo3+WVGCmeNfv3fZA82R7tOfXgaiLdyh0c5ku3rEtH/m+r2dRv5/r\neGd79s3457py6QRGxTva6+/J7Xjn1/IYecQ31jPOWeasxDsllr4cFe861hn7GG3UM9btMuOcZc5O\nvFNi6cuZ4p3v6+jX7htxzZhnPWYk3ksf11EjaMcw4xtl+z3ePkbGOGKe9egj3m2p7qzX8a7fw3W8\nY7T5OqhHnjHO+LbL7OvreUosfZnxbpcZ7xhh/TrI9YxhnIfJungvfTznMoKMW5TxiPjFI8+txRXe\n6qS33B5l7juX59OXAAECBAgQIECAAAECBKYXkPA2vY+tBAgQ6KVAnEjLk68xgTwZl2WekKtPwsa2\nPBmXJ2rzhHweK8teooz5oOvYRD1jN6zM10e+HoaV8VqI48S2WLIcc8beTG9UvDP2UWafLIfFOdvE\nu9uhzxjGKKOe7+usR5mPnEnGdlgZ8a6X6GPphkDEsV4yxtGW9Yx19s34ZawzvrEe9dyex22vZ7ty\nwwtkDPOZ6xhHW7zX2/GO9ox1xjjbxDskurvMJd4xi+zfjne+h8W7u7Gu45ejrN/f9fs669lvtvHO\n10Hup1xagXy/5ijaX7/rn93qvuKdYv0qM4ZRRgzb8Y727JOxz/dslPmzWl3m9pCo6/2SGf/R1rHJ\nWEYc45G3M82Et1yPbdG3ftRS9THrdnUCBAgQIECAAAECBAgQmFlAwtvMRnoQIECglwJx0ixPwGYZ\nbXGyLdbjL1CjbG+L9jxhmydno08sWfYSZAIGnfGJMh8x7YxnttWvjajXj+ifJ2SjHtss3RSYKd4x\n6jrmGUvx7mY8ZxrVqHhHe/21OtaHxTrbvL9nku7G9mHxbrdF3COuGfOIbSz1ezzr2d508E/nBNqx\njfV8xGDz+7h4dy508xrQfOMd8Y8l39dZZluz0T+dE6jj3f5+HYPN93fU65iO+pqe/aK0dE9gunjX\nX9ej3o53rMeS7fV692ZqRCEwU7yzTzveEdth7/Hon3GPuqV7AnV8Mo5Zxrm0vNJb1qOMWMcj+uX+\n7bJ7MzUiAgQIECBAgAABAgQI9ENAwls/4mSUBAgQWJBAfTIt6nlyNQ4a69k27FameRI3+tb1WLd0\nSyBPpEcZj/oXaBm73BYjz9jXZbbHayT6xjZLNwUyPhnT9i9Roz2WLOs4Zz22R128Q6LbSzveGfcY\n9bD3esa4LqNv/rIljxdtlu4JZHwyzlnGSOt458gjzrGId4r0q1yMeNexz+P1S2FyRpvxiXKm792p\nEvHNn9/rWEc9j5d9ld0SyPgMi3eMtG6PeMYi3g1DL//JeNffq6Ot/cg4Z5nv71jPn9W8v0Oj28t8\n491+r8e6eHc71jm6jF2sZ9yijPdtPDLBrb66W/2ezn3yeEoCBAgQIECAAAECBAgQWJiAhLeF+dmb\nAAECvRHIE2txsq29xLY4KR8n5/LkfJ6Uj75Rt3RfIOPUjl29PmwW+dqIMpZcz3rT6J/OCcwU79ie\nMa0Hn/HNbbkefbKt7q/eDYFh8Y6RZbJElHX8Mv4Z39yW67FvtkXd0i2BhcS7/j4v3t2K66jRzDbe\n+b6OMuOcZRxbvEcJd6t9unjHtjrOEVPx7lb85jqaYfHOOGcZx8zvyeI9V+Fu9Z8p3u3RindbpF/r\nc413zi6/X+f7Ptdje7ZlX2V3BTJuWcbPZPUjk9+yLft1d0ZGRoAAAQIECBAgQIAAgf4JSHjrX8yM\nmAABArMWiBNqcRK2LmPn/OVonnCLRIl2olvsV5/AnfWT6rikAhmzGMSoGGafiH8u9Wsi26Ks+9Tt\n6t0QyFjGaLKecY8y3/uxvY6leIdI/5aMcYw86/ONd/166J/EZIw4Yzwq3tGe7/E6nsPe3/X2ydDr\n3yzFu38xW8iIh8U7E5jjuLE939+xHvV85HqUsXh/r3Xo8r+ziXfGMmMv3l2O6PRjE+/pfcZpax3r\nmFeut7+ex7b6a3XW6/d5u0+sW7or0I5hxjLK+Fk8H7me22NGUa/LZsU/BAgQIECAAAECBAgQIDAv\nAQlv82KzEwECBPojECfT8hcn9ajjBFy250m4WM9H9I26pV8CdcyynmXOpF4fdrJ1WFvuq+yWQB3L\nrGeZI63Xh8V2WFvuq+yWQB3LrGcZI63rGddoH1av26KPpXsCdTyznmWMtq7X8cx6ltG3rse6pXsC\ndTyznmWMtq7X8cx6ltG3rse6pXsCdTyznmWMtq7X8cx6ltG3rse6pXsCGc8sY4Sj6nU8s55l7FfX\nY93SPYGMbZYxwlH1Op5ZzzL2q+uxbumeQMY2yxhh1rOMtnYscz3LYX2izdJtgYxflPUjzrfV63U9\nZhTrFgIECBAgQIAAAQIECBBYuICEt4UbOgIBAgR6I1CfVIt6nICNR12PydQnZut6byY64QPNmNVx\nzXpNk7GPttheL+31ept6twTEu1vxWN+jmW2863G038/t9bqvercE5hvviHG9b7dmZTSjBOqYRT0e\ndSzr/bI9yqzH9qhb+iEwLN6jRp4xFu9RQt1vz3jnSNvr2R6leNca/ay349ter2cl3rVGP+vt+OZ6\nlBHfehHvWqPf9Tq2WY+y/YhZZlu/Z2z0BAgQIECAAAECBAgQ6J6AhLfuxcSICBAgsOgCcXItT7pG\nvV7qbdkny7pf1Ee1t/tZXzqBjG8dq7reHlnGP/eL7Vmfbr/2cawvjcCwWA2LW7RF33hkPUc87Bi5\nTdktgWGxEu9uxWgxRzMq3vk+bj9Xtud+sT3rw14n7f2tL63AsFjl1+th8RPvpY3XQp9dvBcq2K/9\nZ4p3vtfbs8r9oj3rw74etPezvrQCw2KVMY4y6+1R5n7RnnXxbit1b31YrDLG08Uv9xPv7sV0uhHV\ncav7ZftMZR3ven91AgQIECBAgAABAgQIEJifgIS3+bnZiwABAr0TiBNvecI1T8LlJHJbtme/3K7s\np0Adx4zxTDPJ18BM/WzvnsBs4t1+HYh39+I42xGJ92ylxqPfqHhHe76Pvb/HI9YxC/Een1jOZibi\nPRul8ekzKt71DH09rzX6XRfvfsdvrqMX77mKjU///Hk8ZjSq3t42PrM3EwIECBAgQIAAAQIECCyd\ngIS3pbP3zAQIENjgAnniLU/E5np7IKPa2/2s90NgpnjnLMQ9JfpdzhTvjHOW/Z6t0Yv3ZL0G2vGO\n9fq9HPV6fbJ0xm+24j1+MZ1uRuI9nc54bctYx6xGfc329Xx8Yi7e4xPL2cxEvGejNN59hn1dH9Y2\n3gpmR4AAAQIECBAgQIAAgQ0jIOFtwzh7FgIECHRKIE+2zeZkbKcGbjDzEhgW7/pAub1uU++vQMaz\nfn/nbHJbriv7L5AxFe/+x3I2M2jHO9dj37o+m2Pp032BjGm+v3M9Rl7Xuz8TI5yNQMZUvGej1e8+\nGeuYRca7nlG9vW5X76dAHU/x7mcM5zJq8Z6L1vj3rV8P4z9bMyRAgAABAgQIECBAgMCGF5DwtuHN\nPSMBAgQ6I9A++TbsBHxnBmsgCxbIeGcp3gsm7fQBMs5Zinenw7XgwWWcsxTvBZN2+gAZ5yjFutOh\nWpTBifeiMPbmIOLdm1AtykAj3hlzX88XhbTTBxHvTodn0Qcn3otO2vkD5tfzzg/UAAkQIECAAAEC\nBAgQIDAmAhLexiSQpkGAAIHFEHBybjEU+3MM8e5PrBZjpOK9GIr9OYZ49ydWCx2pWC9UsF/7i3e/\n4rXQ0Yr3QgX7tb949yteCx2teC9UsF/7i3e/4mW0BAgQIECAAAECBAgQINAPgY37MUyjJECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\ngUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBPBCS89SRQ\nhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAgUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBP\nBCS89SRQhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMn\nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBA\ngAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQ\nIECAAAECBAgQIECAAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg\nQIAAAQIECBAgQIAAgUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgEBPBCS89SRQhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5Dw\nNumvAPMnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAgUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngAABAgQIECBAgEBPBCS89SRQhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAIFJF5DwNumvAPMnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUk\nUIZJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgEBPBCS89SRQhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAIFJF5DwNumvAPMnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBA\nTwQkvPUkUIZJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDz\nJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAg\nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgEBPBCS89SRQhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQ\nIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSReQ\n8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQE8EJLz1JFCGSYAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkXkPA26a8A8ydAgAABAgQIECBA\ngAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBPBCS89SRQhkmAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg\nQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQE8EJLz1\nJFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkXkPA26a8A8ydAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBPBCS89SRQhkmAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkXkPA26a8A\n8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBPBCS89SRQhkmAAAECBAgQ\nIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUkX\nkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBPBCS89SRQhkmA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAAAQIECBAg\nQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAABAgQIECBA\ngAABAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQ\nIECAAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg\nQIAAgUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBPBCS8\n9SRQhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumvAPMnQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATwQkvPUkUIZJgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBSReQ8DbprwDzJ0CAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAQE8EJLz1JFCGSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAgUkXkPA26a8A8ydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA\ngEBPBCS89SRQhkmAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFJF5DwNumv\nAPMnQIAAAQIECBAgQOD/s3cnAHJU1f7Hz2SybyQhZCNAEiAgRCCAQZawBVAUWQIioKAsD9T3V0BF\nQFQUkUWU5wNEQeC5ICgoiihL2GQXSViyEZJAEsKSBBISkkwyW/LvX4XT3K7pnumZ6Zmp6vkW1Nyq\nW7eqb31Od2e6+swtBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBFIiQMJbSgJFNxFAAAEE\nEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBzi7QtbMDcP4IIIAAAoUFNm7c\nWHgjW1InUFFR0WifiXejPKnbSLxTF7JWdZh4t4ovdTsT79SFrFUdJt6t4kvdzsQ7dSFrVYcbize/\nm7eKNnE7NxZrdZZ4Jy5kreoQ8W4VX+p2bireqTshOowAAiUXqKmpsUceecTeeeedkh9bBxw3bpyN\nHz++TY7NQRFAAAEEEEAAgSQLkPCW5OjQNwQQQKCdBLi43k7QHfwwHmcvvTtcnHWJ8io9zl762RFv\nlyiv0uPspc6OWJdXjMOz8Th7SbxDnfJb9jh7SbzLL8bhGXmcvSTeoU75LXucvSTe5RdjP6MwxuEy\nv6+5UHmVYYzDZeJdXnH2swlj7HUqiXeowTICnVfgH//4h33hC1+wVatWtRnCFltsYcuWLWuz43Ng\nBBBAAAEEEEAgqQIkvCU1MvQLAQQQaAeBfBfl8tW1Q1d4iHYQ8NiGF11Vl6++HbrDQ7ShgMdUD0G8\n2xA6IYcuFO8NGzZkexg+D7KVLKRSgHinMmwt7jTxbjFdKnck3qkMW4s7TbxbTJfKHYl3KsPW4k4T\n7xbTpX7H8HNXoedB6k+SE0AAgaIF9D5w1llntWmymzqzdu3aovtEQwQQQAABBBBAoJwESHgrp2hy\nLggggECRAuFFN+2i9YceeqjNhlUvsls0ayOBeLzr6+tt1qxZNmTIEBs6dGhOQpS6EF6gbaMucdg2\nFMgX7xkzZtiIESNMf/EZj298vQ27xqHbQCAe79raWps5c6ZtvfXWNmjQIOLdBuYdech4vHVbFMV7\n9OjRNmDAAOLdkcFpg8eOx3v9+vU2e/Zs22677axfv37Euw3MO/KQYby1vG7dOpszZ46NHTvW+vTp\nQ7w7Mjht8NjxeOtLyrlz59oOO+xgvXv3zok3v6u1QQDa8ZBhrPWwWl+9erW9+uqrtuOOO1qvXr1y\nekO8czhSt5Iv3hrRZ8GCBbbTTjtZjx49cs6JeOdwlM2K/t3+xCc+YT179syek54bxDvLwQICnUbg\nhRdesLfeeqvNz1e/UzAhgAACCCCAAAKdUYCEt84Ydc4ZAQQ6tUB4AdaXL730Urv44os7tQsnjwAC\nCCCAAAIIIIAAAggggAACCCCAQGsFJk+ebHfeeWd0GE9082twvt7ax2B/BBBIvsDUqVPbpZNHHHFE\nuzwOD4IAAggggAACCCRNgIS3pEWE/iCAAAJtKOAX18JSy0899VQbPiqHRgABBBBAAAEEEEAAAQQQ\nQAABBBBAoHMI6Drbhg0bckZ180Q3XYfz5c6hwVki0HkFpk2blvfkNWL34MGD825rbqVGEP3mN7/Z\n3N1ojwACCCCAAAIIlIUACW9lEUZOAgEEEGhaIExyU2uth7MfYdSoUdFtLn2dMp0CHu9471Wviy26\n8Kpp2223LdkFlvhjsd5+Ao3FW39N6tu333776DaX7dczHqktBDye8WOr/rnnnstW65YWm222WXad\nhfQJFIq1ziQe75133tn69u2bvpOkx1mB5sR7l112aXAbvOyBWEiFQGPx1u3nwy/Hxo8fb927d0/F\nedHJ/AKNxVu3r9Xt533aY489rGtXLte5RxrLxuL9/vvvR7cr9vMaOHInswpfo0yjQGPxrlm32qqW\nvxGdlhKcJkyYkMZTpM9FCuh2xbr9vCY9L8LnhuKvdRLdisSkGQJlIhD+Th+e0vnnn28XXXRRWMUy\nAggggAACCCCAQAsEuILWAjR2QQABBNIm4BfZwlLLSnpS6fU6r3POOcdOO+20tJ0i/Q0EPJ5hGcZ6\n9OjRtmbNmmiPCy+80I4//vhgbxbTJhDGWX3XehjvkSNHWnV1dXRaP/rRj+xTn/pU2k6R/gYCjcVb\ncR8+fLgpUULTT3/6U9t///2DvVlMm0BT8R46dGj23/Bf/OIXtvvuu6ftFOlvIBCPd/heruUhQ4Zk\nW99yyy02duzY7DoL6RNoLN5VVVW29dZbZ0/q9ttvtxEjRmTXWUifQBhvLYfza6+9lpMEc/fdd1v/\n/v3Td5L0OCvQWLz1xwmHH354tu3EM64hASarkc4Fj3fmhZ05Ab2+dR4qN9jbrzxj0+64JDqxnj17\n2oMPPhgt86M8BfT6njRpUvbk9LmsS5cu0WvcSz1fSH7LErGAQFkL1NTU5PxRQ3iye+65Z7jKMgII\nIIAAAggggEALBUh4ayEcuyGAAAJpFfAvV/TFqc/ZC7RpPSn6XVDA462SeBdkKpsNHmcvFXOm8hXw\nOHtJvMsz1oqvJo+zl8S7/OOtWBPv8oyzn5Xiq8ljrVJfjnvisrejLA+BeLz9d3Pez8sjvvGzKBRv\nXt9xqTJZj97Pc5PdMm/ueoMvkxPkNJoroPcAf39XspuW40lvzT0m7RFAIF0CGsFXSW/5Jo3oy4QA\nAggggAACCCDQegES3lpvyBEQQACBRAvEL7T7RTf/gkUX3L1Nok+EzhUl4LFU6bPHWiVfsBTFmJpG\n+eKtOo858U5NKIvqaGPxVqwVd6byEfB464y07LO/l/P6Lp9Ye4z9jDzWKom3q5RXqdj6FI+3x9y3\nU6ZfgHinP4bNOYOm4h1ub85xaZtMgYbx1O9smd/J9btb5nfzaDmZXadX7SBQV1dnlZWV0SMp2c2f\nL35bU637cjt0h4dAAIF2Fih0O9NRo0bZ4MGD27k3PBwCCCCAAAIIIFCeAiS8lWdcOSsEEECgoIAu\nqGn2L9P0hblfdCu4ExtSKxCPty64MpWnQBhrf30T7/KLtb9f54s3CVDlGW+PtUp/bSvWxLu8461Y\nE+/yi3F4RvHXdhhvLTOVl0AYb38/95hrnam8BBqLN7+fl1eso7OJXsO6zpJZ0w/9n0l6i5LdeD8v\nw4AXf0rx39fjyW3x9eKPTEsEEEiDQKGEN0Z3S0P06CMCCCCAAAIIpEWgS1o6Sj8RQAABBJov4F+e\nNHXB3ds1/xHYI0kCHsfG4s0XqEmKWOv6Eo+3jqb4qt6/QPX11j0SeydBwOOtvvhr3OOr0uck9JU+\ntF4gjLeO5q9rLxXv+BdorX9UjtBRAvniHY818e6o6JT+cYuJNwkxpXfvqCMS746S75jHLSbe+jec\nqTwE4vFWplv0X5TsllnaoD8uJN7lEe3mn4WeH/r33D+naV3L8edNfL35j8QeCCCQVIGpU6fm7dqe\ne+6Zt55KBBBAAAEEEEAAgeYLkPDWfDP2QAABBFIhkO+imep89otu+gI1X9tUnCSdzArki6HHWqXi\nrVjrgmu+ttkDsZAKgXwx9Hh7rD3eqTghOtmoQDzevq6SeDdKl8qNHl/vvK97vMOYexvK9Ap4fP0M\nfF1lPObehjK9Ah5fPwNfj8ebhDcXSnfp8fWz8HWV/l6ukni7ULpLj6+fhdZ9DuOtZab0CzSMd+ac\nMjHX6G5RGSU2KbmpPv0nyxm0WECfyTXrda/Znzde+oHj615PiQAC6RWoqamxmTNn5j0BEt7yslCJ\nAAIIIIAAAgi0SICEtxaxsRMCCCCQXgFdSPOLbX7xjYtr6Y1nUz0P461lxZyp/AQU23D2i+nEuzxj\nrbOKx1sxJ96dK94kSJR/vP33NZXEu/PE238/L78z7txnpH+3Nan039P8326VTOUl0Fi8+X2tvGK9\n6Ww+eH1rfLcPbmWaLXl5l2PAiz4n/f6m17y/7/tnOB3A3yeKPhgNEWgjAZ6LbQM7Y8YMU9Jbvolb\nmuZToQ4BBBBAAAEEEGiZAAlvLXNjLwQQQCA1An7hwi+seakLbv4li7dJzUnR0YICHkuPs5cea75g\nKUiXyg0eb3U+jLWW+cI8lSFttNMeb4+1Sv/yxF/jjR6AjakSKBRvxZp4pyqURXU2X7z9Nc77eVGE\nqWrUWLz9NZ6qE6KzjQrki7fiHL7GGz0AG1MlQLxTFa7Wd/aDZNbMp7Ho/00/PvhjpOh1TsZb65HT\neQS9F3iym//brjqfdVb+fpHOM6TXaRfw5+K9995rf/nLX7LPTa9P+/l1dP+nTZuWtwtjxoyxgQMH\n5t1GJQIIIIAAAggggEDzBUh4a74ZeyCAAAKpFfCLFl76F+ZaZyo/AY+zl36RtfzOlDPy17DHWiXx\nLv/nRRhv/zKl/M+6854h8e5csff3cS/1ns5UvgIeZy/1ns5UvgKKs896bWuZqXwFwljz+3n5xjl7\nZno5R3Pm3229tjMjvjF1XgG95v1zmr8XdF4NzjwpAvHnYm1trZ1wwgl211135XTR26lkar7A1KlT\n8+7E7UzzslCJAAIIIIAAAgi0WICEtxbTsSMCCCCQHoHw4kR4wULLfMmSnjgW29Om4l3scWiXDgGP\nd1hqWbNe30zlKUC8yzOuhc6KeBeSKc964l2ecS10VvF4kxBTSKo86sN4e6z5fa08YpvvLMJ4a1mx\n9rp87alLu8CmpJDodqZ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JwOPipR7W46aL7f5l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52Sf4/7bNul+zs6v68lf79eTQvc/67ba9i/uLPB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\n0d1ynVhCAAEEEGi+QKcuvaxTF7Mu3T7cR2Yk1sz/UzJlR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NnLMOHNY+jx9VLH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AAAECBAgQINATAQlvPWF2EQIECBAgQIAAAQIECBAgQIAAAQIECBAg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+uFY/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\nAAECBAgQWLHA/780N4vehoD+F49BbaKLGJNbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/06_03.png', width=500) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fold: 1, Class dist.: [256 153], Acc: 0.891\n",
      "Fold: 2, Class dist.: [256 153], Acc: 0.978\n",
      "Fold: 3, Class dist.: [256 153], Acc: 0.978\n",
      "Fold: 4, Class dist.: [256 153], Acc: 0.913\n",
      "Fold: 5, Class dist.: [256 153], Acc: 0.935\n",
      "Fold: 6, Class dist.: [257 153], Acc: 0.978\n",
      "Fold: 7, Class dist.: [257 153], Acc: 0.933\n",
      "Fold: 8, Class dist.: [257 153], Acc: 0.956\n",
      "Fold: 9, Class dist.: [257 153], Acc: 0.978\n",
      "Fold: 10, Class dist.: [257 153], Acc: 0.956\n",
      "\n",
      "CV accuracy: 0.950 +/- 0.029\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "if Version(sklearn_version) < '0.18':\n",
    "    from sklearn.cross_validation import StratifiedKFold\n",
    "else:\n",
    "    from sklearn.model_selection import StratifiedKFold\n",
    "    \n",
    "\n",
    "if Version(sklearn_version) < '0.18':\n",
    "    kfold = StratifiedKFold(y=y_train, \n",
    "                            n_folds=10,\n",
    "                            random_state=1)\n",
    "else:\n",
    "    kfold = StratifiedKFold(n_splits=10,\n",
    "                            random_state=1).split(X_train, y_train)\n",
    "\n",
    "scores = []\n",
    "for k, (train, test) in enumerate(kfold):\n",
    "    pipe_lr.fit(X_train[train], y_train[train])\n",
    "    score = pipe_lr.score(X_train[test], y_train[test])\n",
    "    scores.append(score)\n",
    "    print('Fold: %s, Class dist.: %s, Acc: %.3f' % (k+1,\n",
    "          np.bincount(y_train[train]), score))\n",
    "    \n",
    "print('\\nCV accuracy: %.3f +/- %.3f' % (np.mean(scores), np.std(scores)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV accuracy scores: [ 0.89130435  0.97826087  0.97826087  0.91304348  0.93478261  0.97777778\n",
      "  0.93333333  0.95555556  0.97777778  0.95555556]\n",
      "CV accuracy: 0.950 +/- 0.029\n"
     ]
    }
   ],
   "source": [
    "if Version(sklearn_version) < '0.18':\n",
    "    from sklearn.cross_validation import cross_val_score\n",
    "else:\n",
    "    from sklearn.model_selection import cross_val_score\n",
    "\n",
    "scores = cross_val_score(estimator=pipe_lr,\n",
    "                         X=X_train,\n",
    "                         y=y_train,\n",
    "                         cv=10,\n",
    "                         n_jobs=1)\n",
    "print('CV accuracy scores: %s' % scores)\n",
    "print('CV accuracy: %.3f +/- %.3f' % (np.mean(scores), np.std(scores)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Debugging algorithms with learning curves"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Diagnosing bias and variance problems with learning curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SpkP6hZVfPKpbfK2TF6KL5Mrk/D/Z/KIcDM2XlStXysqGRVISPSXHu9iXGke/+xSBfn9C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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 14,
     "metadata": {
      "image/png": {
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/06_04.png', width=600) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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25d+ybs869vXsG3S56+ZfVz6/NXXM1MNO1ifK723W12YNuLzeeXh5pBbuB7UL\nmFIxPrk4rUxVu/FKQ4h3VnQbsLVikSvwSk97KtYpPxeRbwE/H/HID0M26zV+iADTp9d+YjreqSo7\nEztZt2cdUxqmMK913pDJCbwTyfWh+oOml05OV2O+Lzv4Aawx3Ah49frg9TbeHG3ujbdY5C5VCQV9\nQVpjrX32Byif7wn6gkxpnNJnXaE3pnAgzPQmr1HBYAnqI7M+Qtv84+cAOlKuOfMarjnzGlSVPak9\nXPSfFw243Cdf/8ljHFltGqjRRuV3c6RVswQVAF7EO4e0C3gaeLuqbqhYZgzQo6o5EXkPcKGqvrNi\n/grgEVX9TsW0iar6WvH5h/BKZdcMFUs1SlCZjDfE494Ftvs2b6Pt7OPnB348/aPLFrJ8YeUXeEVe\nYe2etXRkvKqo6+Zfxydf/0kKboGHNj/E7b+6fcD1N926acDp1bRtzbZBq0NGI56Swf4BP3zBw8fN\n9wGq9/0d7P052s/sePq9wUlwR11VLYjIrcAjeM3M71XVDSJyS3H+3cAZwHdFRIENwI2l9UUkhtcC\n8L39Nv0FEVmAV5GxfYD5VZVOe6WmhkaYcmrvPYr2WanpqKXzaTa2b/RaRe1Zy5TGKXzodR8i6A/y\nwKsPMKFhAsvalnkn6cfPZ2bzTMAryfzlrL8cNEEZY45PVb0Oqnh90sp+0+6ueP4kMHOQdVNA8wDT\nrxvhMIclnYZc2rt+aepUrwm6OXIFt0B7TzsT6icAcOODN/LkK0+WW1udEj+F1nqv6sAnPu5bfB+z\nzhn4323Joa4ZOdZqLZ7S69daTLXE3p/aYj1JDEPA790gcPJE74aF5vC9mniVNbvXlK8Z2bB3A+Nj\n4/nldb8EYEHrAuaN965VmTd+3kFd4YR81b9mZKTVWjwweEyl64pOdrX4mZ3MLEENw9SpXn1iyHp+\nGJaOdAfr9q7jxf0vctM5NwHwxSe+yMrNKwn5Q8xpmcPVc65mfut8VBUR4QNLPjDKURtjao0lqGEQ\n8W4cONoG6makOdrMEzc+wb7UPnZ27yxPL7X0mtk8k7pgHe097byaeLU8/9XEqyT3JDl97OlEg1H2\n9+zntaTXQWe5JZgIpzWdRiQQ4UD6QLnLlpLr77+ezkxnn2k+8eGqW97Om2e/mZa6Ft678L3cePaN\nzGyeWfNNmI2pFdlCllQ+Vf5NRoPRmrvgt5osQR1HBupmZH/a6xfwkZce4bOPf/ag+Q9c8wCzW2bz\n8JaHD54S1TU7AAAgAElEQVT/XO/8h7Y8NOT6KzevHHB+f6663H7e7cwfP5+54+eWmzoP1NWKMeZg\nqkoqnyJbyFIfqmfm2JnEQjES2QT7evbRkfZasZ4MycoS1HHihfaBL/osubjtYqY2et27lC/YBCY3\neD0jL522lCkNU8rzdm/dTWtba3n+RdMu4pT4KeX5pcsPJsUnAfD6qa/na1d8rc/2P/DQwNVy7znn\nPYe/g8ac5BzXIZlL4rgOzbFmZjbPJBaMlWtDwoEwLbEWck6O7kz3SZGsLEHVMFVl0/5Ng3b2WOmU\n+CmcEj9l0PmTGyaXkxHAts5ttLX1XucwpWEKUxqmDLQqAKc2eveTMcaMrJyTI5VLISKcEj+FcXXj\nhrzpYMgfoiXW0idZ7U3t9ZKVQDRw4iQrS1A1akfXDu5cdSdP73qan7/950wbM220QzLmqOWdPHk3\nT8Et4LgOItKn+6a6YN0JdUfYofTke8gUMkT8EaY3TWdMdMyQt94YyEDJak9qzwmTrCxB1Zi8k+c7\na77D1/70NQK+AB+78GPlkkutXaNRa/GY2pB3vASUd70eB1CvwYyKEglEiAVjxIIxosEoQX+QkD+E\nqy7d2W72JHsPrnWBEy9ZueqSyqXIO3nGRMdwWtNpxEPxEblR4KGS1fH4flqCqiGZQoa3/ehtvND+\nApeedimffP0nyxerQu1do1Fr8Zhjp+AWyomo4Ba8BORlIiL+CHXBOuqCdUSDUUL+EEGfl4iGOhBH\nAhHGx8aTLWRJZBO9B1eO/3MsqkpHugMRYXxsPONj4w/73lmH40RJVpagakDeyRP0B4kEIlzcdjEf\nWPwBLjntktEOy5zkSsmnlIiAcpVcJBAhGoyWS0KlJBT0B4/6thzhQHjIBgGRQARq4LKP4cgWsvTk\ne3DVZWrjVJrrmo/5rekHS1YHeg4gPqnpZGUJapQ9uu1RPvf45/iXy/+F+a3z+eCSD452SOYk4riO\nVxXnOuV/+KVzQiF/iFgoRlOkiVgoVi4FjUQSGq7Kg2veydOd7aa9p52CFuhIdxAOhIkGoiNSRTZS\nSs3Ec4Uc9eF6ZoydQTqYZkJ8wmiH1uf9rCyp1mqysgQ1SvYk9/C5332OR156hJnNM/GLdVNhRpaq\neo0R1Ck3Sqi8iFpRQv4Q0UCUoC/I9KbphAPh8nmhWrpBIUDQH6S5rpnmumZeDb7KzOaZtPe0cyB9\nAPAOvnXBulFLVqVm4q66NNc1M6F5woC3aakVlSXV/smq4BbIFrKjnqwsQY2CH2z4AZ//w+fJO3k+\n/Bcf5oYFNxzzYr85vrnqlqvgHNfpUwVXIgjhQJhIIELY7z2G/CECvgBBf5CgL4jf5/0x2u3fTUvs\n+GngIghN0Saaok0U3ALJXJL2nnb293gXrgf9QeqCdcckyZaaifvEx8T4xEM2E69F/ZPV7zb/Dp/4\nRr1kZQlqFOzo2sH81vn849J/tGuLzEEqk46jjtccm97EoygBX4CwP0wsGCMSiBAJRMpJJ+ALEPAF\nysnnRBfwBRgTGcOYyBjaxrSRzCXZ37Of9nQ7qlq1ZNWT7yGTzxANRpneNJ2maNMJ8Z6HA2ECvgBz\nx889uMGKUP6OHQuWoI6BbCHLN5/5JosnLea8KefxwSUfJOAL1FS9uam+AavccL3qttK1QAJhn/dv\ntpx8gpFy0ikNtVb9Viv8Pj+NkUYaI41MdaeSyqdoT7WzP70fV10CvgB1wbojTiSuuuXeHhojjSPa\nTLwW9S9ZdWe9i4ItQZ0gntr5FJ967FNs79qOqy7nTTnPqvNOYKpK3s3jui6dmc4+F6H6xEco4J3z\n6V/lVjmcqAe7Y83v89MQbqAh3MA0nUYql2J/er/XyMIplEtWw0lWeSdPMp9EEFpjrYyPjScajB6D\nvagd4UCYcYFxjIuNo1p3Yu/PElSVdKQ7+MITX+Anz/+EKQ1TuPev7uX8U88f7bDMCCmdA8o5OfJO\nvndG8ep9n8/H1Map5SQU9B+7ahFzMJ/4iIfjxMNxTm08lVQuRUe6g309+8i7+XLJqv9nlClk6Mn1\nEPKHmNY4jbHRsfYHE47Znyj7xVTJ/S/czwMvPMDN59zM3537dyfdv60TRakZdt7JU9BCuTrOJz5i\noRjN0WZiwRjhQJiQP1S+GPXA8wf6XGRtakdlsprSOIVUPkVnppN9qX10F7rx+/z4fX5yhRzxcJzZ\n42bTEG6watVRYAlqBL3S9Qq7k7s5d9K5vGP+Ozj/1POZ2TzgHe1NjSn1EZd38n16gw/4AsSCXiKq\nC9aVk5D9iz4xiAj1oXrqQ/VMik+iJ99DZ6aTbCFLa3MrsVBstEM8qVmCGgEFt8APd/6Q+/54HxPq\nJ/DQ3z5E0B+05FRjSueHDqqWAyLBCPWh+j49I5TOD5mTg4gQC8UsKdWQqv76RORy4F8BP/BtVb2r\n3/wm4F5gOpAB3q2q64vztgMJwAEKqrqoOH0s8H1gGrAdeKuqdlRzP4ayds9aPvXYp3i+/XkubruY\nT73+U1YVMMpcdfuUiEpEvOs5miJN1Ifq+1TL2WdmTO2pWoISET/wdeANwE7gaRF5UFU3Viz2cWCN\nqv61iMwuLr+8Yv4yVe1/G9k7gEdV9S4RuaM4/tFq7cdQVr+2mr/9yd/SHG3mk7M/yTuWv8NaYI0C\nx3XIOlmyThbUa71VH6xnTGQMsVCst1rOF7TPx5jjSDVLUIuBLaq6FUBEVgBXAZUJag5wF4CqviAi\n00SkVVX3DLHdq4ClxeffBVZxjBPUnuQeWutbWTBhAbf/xe28de5baX++3Q5+x4jjOmQKGXJODvDO\nEzVGGpkSmUJdsI5IIGKfhTEnAKlWe3YRuRq4XFVvKo5fByxR1VsrlvknIKqqHxKRxcATxWWeFZFt\nQBdeFd+/q+o9xXU6VXVM8bkAHaXxfq9/M3AzQGtr68IVK1Yc8b5kChkAOvId3L31blZ3rOaehfcw\nNjS2vEy2J0u47vjp3uR4ildVyaVz+CPe9SqClHtK8ImvTy8LtSKZTFJfX7v9sPVn8VaXxdvXsmXL\nni2dthnKaJ8Bvgv4VxFZA6wD/oyXkAAuUNVdIjIe+JWIvKCqj1eurKoqIgNm2GJCuwdg0aJFunTp\n0sMObsKXJrAndXBh7rbX3ca8s+cR8ofK07at2UbbgraDlq1VtRxv3smTdbLl80dhf5i9G/dy7nnn\nHjd3XF21ahVH8p0bLRZvdVm8R6aaCWoXMKVifHJxWpmqdgM3QLk0tA3YWpy3q/i4V0R+ildl+Diw\nR0QmquprIjIR2FutHRgoOQG8b9H7qvWSJ6WckyNbyJY7PI0EIrREW2iINJSbdq/atIqmaNMoR2qM\nOZaqmaCeBmaISBteYroGeHvlAiIyBuhR1RxwE/C4qnaLSAzwqWqi+PxS4DPF1R4ErscrfV0PPFDF\nfTBVkHNyZAoZXHVRVaLBKK31rcRD8XITb2OMqVqCUtWCiNwKPILXzPxeVd0gIrcU598NnAF8t1hN\ntwG4sbh6K/DT4onuAPA/qvpwcd5dwA9E5EbgZeCt1doHc/RUtU9CKjX1nlg/kXg47t2LyC56NcYM\noKrnoFR1JbCy37S7K54/CRx0NWux5d9Zg2xzP32bopsaoqpknWy5YYmqUh+qZ3LDZOpD9USDUbv4\n1RgzLHakGEJrrPWg81At0ePnpm7VoKq46nrVc3jPHdcpdxEkIsRDcVobvW5iooHoCXGPHGPMsWcJ\nagi7b98NwMZ9G3HVPe7PjZSSi6Perb/T+XQ50ZRvBy6Um22r6kE3ygPKPXMHfAFC/hB+8W5rUBes\nIxqMWq8MxpgRYQnqOFTqxqfUyKCUdErJpJxgKjo9RcCHr3z9kCDl2wsMdDO80lC61qhyMMaYY8ES\n1HEmnU+TdbI0RZoOutndYAnFL8ULWit6Vzjw/AFmNM8YxT0xxpihWYI6jqRyKVSVeePn2f2ljDEn\nPEtQx4lkLolf/MweN/u46EnBGGOOliWo40AimyDoDzK7ZfZx31DDGGOGyxJUjevKdFEXrGNm80y7\noNUYc1KxBFXDOjIdjAmPYfrY6XZxqzHmpGNHvRrVke6gKdrE9KbpdqGrMeakZAmqxqgqHZkOxsfG\nM23MNLvuyBhz0rIEVUNUlQPpA5wSP4VTG0+1u8IaY05qlqBqhKsuHekOpjROYVJ8kiUnY8xJzxJU\nDXBch45MB21j2pgYnzja4RhjTE2wBDXKCm6BrkwXp489nfGx8aMdjjHG1AxLUKMo7+TpznYzs3km\nzXXNox2OMcbUFEtQoyTn5EjlUpzRcgZjomNGOxxjjKk5lqBGQbaQJV1IM2fcHOLh+GiHY4wxNckS\n1DGWzqfJOTnmjptLLBQb7XCMMaZmWYI6hlK5FK66nDn+TLtdhjHGHEJVuykQkctFZJOIbBGROwaY\n3yQiPxWRtSLyJxE5szh9iog8JiIbRWSDiHywYp1Pi8guEVlTHK6s5j6MlGQuiSDMHT/XkpMxxgxD\n1UpQIuIHvg68AdgJPC0iD6rqxorFPg6sUdW/FpHZxeWXAwXgw6q6WkTiwLMi8quKdb+iql+qVuwj\nrTvbTcgfsttlGGPMYahmCWoxsEVVt6pqDlgBXNVvmTnAbwBU9QVgmoi0quprqrq6OD0BPA9MqmKs\nVdOV6SIaiHJGyxmWnIwx5jCIqlZnwyJXA5er6k3F8euAJap6a8Uy/wREVfVDIrIYeKK4zLMVy0wD\nHgfOVNVuEfk0cAPQBTyDV9LqGOD1bwZuBmhtbV24YsWKI96XTCFT2uagy2R7soTr+t7p1nEdfOIj\nEogc8WtXSzKZpL6+frTDGDaLt7os3uqyePtatmzZs6q66FDLjXYjibuAfxWRNcA64M+AU5opIvXA\nj4HbVLW7OPmbwGcBLT7+M/Du/htW1XuAewAWLVqkS5cuPeIgN+7biKvukCWgbWu20bagrTxe67fL\nWLVqFUfznhxrFm91WbzVZfEemWomqF3AlIrxycVpZcWkcwOAeMWTbcDW4ngQLzndp6o/qVhnT+m5\niHwL+HmV4j8ipdtljKsbR1tTm90uwxhjjlA1j55PAzNEpE1EQsA1wIOVC4jImOI8gJuAx4vVeAL8\nB/C8qn653zqVvan+NbC+antwmEq3y5gQm8BpTadZcjLGmKNQtRKUqhZE5FbgEcAP3KuqG0TkluL8\nu4EzgO+KiAIbgBuLq58PXAesK1b/AXxcVVcCXxCRBXhVfNuB91ZrHw5HKTlNbpjM5IbJdrsMY4w5\nSlU9B1VMKCv7Tbu74vmTwMwB1vs9MOARXlWvG+Ewj5rjOjjqMLVxKqc0nDLa4RhjzAlhtBtJHPcK\nboHOdCdhf9iSkzHGjCA7SXIU8k6erkwXs1pmEfBZrjfGmJFkR9UjlHNyJLNJZrfMpinaNNrhGGPM\nCeeQJSgR+YCI2BG4QraQJZVLMWf8HEtOxhhTJcOp4mvF60fvB8XOX0/q5mnpfJpMIcPc8XNpCDeM\ndjjGGHPCOmSCUtVPAjPwrkt6F7BZRP5JRKZXObaa05PvoeAWmDt+LvWh46fbEmOMOR4Nq5GEeh32\n7S4OBaAJ+JGIfKGKsdWUZC6JqjJ3/FzqgnWjHY4xxpzwDtlIongvpncC7cC3gY+oal5EfMBm4P+r\nboijTxCiwSizm2cTDoQPvYIxxpijNpxWfGOB/6WqL1dOVFVXRN5UnbBqyynxU6gL1hH0B0c7FGOM\nOWkMp4rvIeBAaUREGkRkCYCqPl+twGpJY6TRkpMxxhxjw0lQ3wSSFePJ4jRjjDGmaoaToEQr7mqo\nqi52ga8xxpgqG06C2ioi/1tEgsXhgxTv2WSMMcZUy3AS1C3AeXg3G9wJLKF4K3VjjDGmWg5ZVaeq\ne/FuNmiMMcYcM8O5DiqCdyPBuUCkNF1V313FuIwxxpzkhlPF93+BCcBlwG+ByUCimkEZY4wxw0lQ\np6vqPwApVf0u8Ea881DGGGNM1QwnQeWLj50icibQCIyvXkjGGGPM8K5nuqd4P6hPAg8C9cA/VDUq\nY4wxJ70hS1DFDmG7VbVDVR9X1dNUdbyq/vtwNl68f9QmEdkiIncMML9JRH4qImtF5E/FEtqQ64rI\nWBH5lYhsLj7aHQONMeYENGSCKvYacUS9lYuIH/g6cAUwB7hWROb0W+zjwBpVnY/XY/q/DmPdO4BH\nVXUG8Ghx3BhjzAlmOOegfi0it4vIlGLpZayIjB3GeouBLaq6VVVzwArgqn7LzAF+A6CqLwDTRKT1\nEOteBXy3+Py7wJuHEYsxxpjjjFR0szfwAiLbBpisqnraIda7GrhcVW8qjl8HLFHVWyuW+Scgqqof\nEpHFwBN4LQTbBltXRDpVdUxxugAdpfF+r38zxR4vWltbF65YsWLI/TxayWSS+vrj5y67Fm91WbzV\nZfFWV7XjXbZs2bOquuhQyw2nJ4m2kQlpQHcB/yoia4B1wJ8BZ7grq6qKyIAZVlXvAe4BWLRokS5d\nuvToox3CqlWrqPZrjCSLt7os3uqyeKurVuIdTk8S7xxouqr+1yFW3QVMqRifXJxWuY1u4Ibi6wiw\nDa8j2ugQ6+4RkYmq+pqITAT2HmofjDHGHH+Gcw7q3IrhQuDTwF8NY72ngRki0iYiIbz+/B6sXEBE\nxhTnAdwEPF5MWkOt+yBwffH59cADw4jFGGPMcWY4VXwfqBwXkTF4jRYOtV5BRG4FHgH8wL2qukFE\nbinOvxs4A/husZpuA16ff4OuW9z0XcAPRORG4GXgrcPaU2OMMceVI7nxYAqvEcMhqepKYGW/aXdX\nPH8SmDncdYvT9wPLDyNeY4wxx6HhnIP6GVBqiODDaxr+g2oGZYwxxgynBPWliucF4GVV3VmleIwx\nxhhgeAlqB/CaqmYARCQqItNUdXtVIzPGGHNSG04rvh8CbsW4U5xmjDHGVM1wElSg2N0QAMXnoSGW\nN8YYY47acBLUPhEpX/ckIlcB7dULyRhjjBneOahbgPtE5GvF8Z14PY8bY4wxVTOcC3VfAl4nIvXF\n8WTVozLGGHPSO2QVn4j8k4iMUdWkqiaLNxn8/49FcMYYY05ewzkHdYWqdpZGVLUDuLJ6IRljjDHD\nS1B+EQmXRkQkCoSHWN4YY4w5asNpJHEf8KiIfAcQ4F303tHWGGOMqYrhNJL4vIg8B1yC1yffI8DU\nagdmjDHm5DacKj6APXjJ6W+Ai4HnqxaRMcYYwxAlKBGZCVxbHNqB7wOiqsuOUWzGGGNOYkNV8b0A\n/A54k6puARCRDx2TqIwxxpz0hqri+1/Aa8BjIvItEVmO10jCGGOMqbpBE5Sq3q+q1wCzgceA24Dx\nIvJNEbn0WAVojDHm5HTIRhKqmlLV/1HVvwQmA38GPlr1yIwxxpzUhtuKD/B6kVDVe1R1ebUCMsYY\nY+AwE9ThEpHLRWSTiGwRkTsGmN8oIj8TkedEZIOI3FCcPktE1lQM3SJyW3Hep0VkV8U863bJGGNO\nQMPpSeKIiIgf+DrwBrxbdDwtIg+q6saKxd4PbFTVvxSRccAmEblPVTcBCyq2swv4acV6X1HVL1Ur\ndmOMMaOvmiWoxcAWVd1avAvvCuCqfssoEBcRAeqBA0Ch3zLLgZdU9eUqxmqMMabGiKpWZ8MiVwOX\nq+pNxfHrgCWqemvFMnHgQbyWgnHgbar6i37buRdYrapfK45/GrgB6AKeAT5c7GG9/+vfDNwM0Nra\nunDFihUjvo+Vkskk9fX1VX2NkWTxVpfFW10Wb3VVO95ly5Y9q6qLDrmgqlZlAK4Gvl0xfh3wtQGW\n+Qre9VWnA9uAhor5IbxeLForprUCfrzS3+eAew8Vy8KFC7XaHnvssaq/xkiyeKvL4q0ui7e6qh0v\n8IwOI49Us4pvFzClYnxycVqlG4CfFGPeUkxQsyvmX4FXetpTmqCqe1TVUVUX+BZeVaIxxpgTTDUT\n1NPADBFpE5EQcA1edV6lHXjnmBCRVmAWsLVi/rXA9ypXEJGJFaN/Dawf4biNMcbUgKq14lPVgojc\nind7Dj9eVdwGEbmlOP9u4LPAf4rIOrxqvo+qajuAiMTwWgC+t9+mvyAiC/AaWGwfYL4xxpgTQNUS\nFICqrgRW9pt2d8XzV4EBu01S1RTQPMD060Y4TGOMMTWoqhfqGmOMMUfKEpQxxpiaZAnKGGNMTbIE\nZYwxpiZZgjLGGFOTLEEZY4ypSZagjDHG1CRLUMYYY2qSJShjjDE1yRKUMcaYmmQJyhhjTE2yBGWM\nMaYmWYIyxhhTkyxBGWOMqUmWoIwxxtQkS1DGGGNqkiUoY4wxNckSlDHGmJpkCcoYY0xNsgRljDGm\nJlU1QYnI5SKySUS2iMgdA8xvFJGfichzIrJBRG6omLddRNaJyBoReaZi+lgR+ZWIbC4+NlVzH4wx\nxoyOqiUoEfEDXweuAOYA14rInH6LvR/YqKpnAUuBfxaRUMX8Zaq6QFUXVUy7A3hUVWcAjxbHjTHG\nnGCqWYJaDGxR1a2qmgNWAFf1W0aBuIgIUA8cAAqH2O5VwHeLz78LvHnkQjbGGFMrRFWrs2GRq4HL\nVfWm4vh1wBJVvbVimTjwIDAbiANvU9VfFOdtA7oAB/h3Vb2nOL1TVccUnwvQURrv9/o3AzcDtLa2\nLlyxYkVV9rMkmUxSX19f1dcYSRZvdVm81WXxVle14122bNmz/WrGBqaqVRmAq4FvV4xfB3xtgGW+\nAghwOrANaCjOm1R8HA88B7y+ON7Zbxsdh4pl4cKFWm2PPfZY1V9jJFm81WXxVpfFW13Vjhd4RoeR\nR6pZxbcLmFIxPrk4rdINwE+KMW8pJqjZAKq6q/i4F/gpXpUhwB4RmQhQfNxbtT0wxhgzaqqZoJ4G\nZohIW7HhwzV41XmVdgDLAUSkFZgFbBWRWLH6DxGJAZcC64vrPAhcX3x+PfBAFffBGGPMKAlUa8Oq\nWhCRW4FHAD9wr6puEJFbivPvBj4L/KeIrMOr5vuoqraLyGnAT71TTASA/1HVh4ubvgv4gYjcCLwM\nvLVa+2CMMWb0VC1BAajqSmBlv2l3Vzx/Fa901H+9rcBZg2xzP8VSlzHGmBOX9SRhjDGmJlmCMsYY\nU5MsQRljjKlJlqCMMcbUJEtQxhhjapIlKGOMMTXJEpQxxpiaZAnKGGNMTbIEZYwxpiZZgjLGGFOT\nLEEZY4ypSZagjDHG1CRLUMYYY2qSJShjjDE1qaq32zDGnDzy+Tw7d+4kk8lU/bUaGxt5/vnnq/46\nI+VkjTcSiTB58mSCweARrW8JyhgzInbu3Ek8HmfatGkUbzZaNYlEgng8XtXXGEknY7yqyv79+9m5\ncydtbW1HtA2r4jPGjIhMJkNzc3PVk5M5PogIzc3NR1WitgRljBkxlpxMpaP9PliCMsYYU5MsQRlj\nRoXjwM9/Dp/9rPfoOEe3vc7OTr7xjW8c0bpXXnklnZ2dQy7zqU99il//+tdHtH1zZKqaoETkchHZ\nJCJbROSOAeY3isjPROQ5EdkgIjcUp08RkcdEZGNx+gcr1vm0iOwSkTXF4cpq7oMxZuQ5Dlx2GVx7\nLdx5p/d42WVHl6SGSlCFQmHIdVeuXMmYMWOGXOYzn/kMl1xyyRHHNxoOtd+1rmoJSkT8wNeBK4A5\nwLUiMqffYu8HNqrqWcBS4J9FJAQUgA+r6hzgdcD7+637FVVdUBxWVmsfjDFH5rbbYOnSwYcFC+Cx\nxyCZBFXv8bHHvOmDrXPbbUO/5h133MFLL73EggUL+MhHPsKqVau48MIL+au/+ivmzPEOH29+85tZ\nuHAhc+fO5Z577imvO23aNNrb29m+fTtnnHEG73nPe5g7dy6XXnop6XQagHe961386Ec/Ki9/5513\ncs455zBv3jxeeOEFAPbt28cb3vAG5s6dy0033cTUqVNpb28/KNb3ve99LFq0iLlz53LnnXeWpz/9\n9NOcd955nHXWWSxevJhEIoHjONx+++2ceeaZzJ8/n69+9at9YgZ45plnWLp0KQCf/vSnue666zj/\n/PO57rrr2L59OxdeeCHnnHMO55xzDk888UT59T7/+c8zb948zjrrrPL7d84555Tnb968uc/4sVbN\nZuaLgS2quhVARFYAVwEbK5ZRIC7embR64ABQUNXXgNcAVDUhIs8Dk/qta4w5TiWT4Lp9p7muN725\n+ci2edddd7F+/XrWrFkDwKpVq1i9ejXr168vN3O+9957GTt2LOl0mnPPPZe3vOUtNPd7wc2bN/O9\n732Pb33rW7z1rW/lxz/+Me94xzsOer2WlhZWr17NN77xDb70pS/x7W9/m3/8x3/k4osv5mMf+xgP\nP/ww//Ef/zFgrJ/73OcYO3YsjuOwfPly1q5dy+zZs3nb297G97//fc4991y6u7uJRqPcc889bN++\nnTVr1hAIBDhw4MAh34uNGzfy+9//nmg0Sk9PD7/61a+IRCJs3ryZa6+9lmeeeYaHHnqIBx54gKee\neoq6ujoOHDjA2LFjaWxsZO3atZx//vl85zvf4YYbbjjcj2LEVDNBTQJeqRjfCSzpt8zXgAeBV4E4\n8DZV7fO1FZFpwNnAUxWTPyAi7wSewStpdfR/cRG5GbgZoLW1lVWrVh3FrhxaMpms+muMJIu3uk7G\neBsbG0kkEoB3XmkoDz3k593vjpJK9bbyisWUz38+zRVXDF7PV9w8juOUX6skmUzium55ek9PDwsX\nLqSlpaU87Ytf/CI///nPAXjllVdYs2YNixcvRlVJJpMkk0mmTp3K9OnTSSQSnHnmmWzatIlEIkE+\nnyedTpNIJFBVLr30UhKJBLNnz+aHP/whiUSCxx9/nPvu+3/tnXt0VPW1xz87Dwh5YZTyRkO9CJRI\nCAmG3gAGMEq9FQUERLgUFb1aClqXvaWVVWnRLiuPm9Wl1xYsT3k0ohRprTw0EaxFIYgEAYVKVF4h\nejEkQISQ3/3jd2aYDDN5kWEOsD9rnTXn/M7v8T17MrPz+805ey+lvLycrKwsrrrqKioqKoiKiqqh\nd2wj/1EAABSmSURBVPHixSxcuJCqqiqOHDlCYWEhJ0+epHXr1nTr1o3y8nJEhFOnTvHmm29y//33\ne2dy0dHRXg0VFRU0b96cEydOeG3y7bffctttt1FVVUV5eTllZWU88cQTFBUVERkZyb59+ygvL+eN\nN95gzJgx3naefseOHcuSJUvo0aMHy5cvJz8//zxbN4TKyspG/22F+0Hd24DtwCDgemC9iGwyxhwH\nEJF44FXgMU8Z8CIwAzv7mgHMBu7379gYMxeYC5CRkWE8099QUVBQQKjHaEpUb2i5EvXu3r273g93\njhgBc+fC++/DiRMQFweZmcKIEbFERtbdPtCDpPHx8URERHjLY2NjSUxM9B4XFBSwadMm74whOzub\nyMhIEhISEBHi4+MBaNGiRY0+KioqSEhIIDo62nvO84xPQkICiYmJGGNISEggIiKC+Ph4b3tPv55x\nAPbv38/zzz/Pli1bSEpKYsKECYgIcXFxNep5iIqKIjY29rzy6Ohob3lkZKS3bfPmzWtomD17Nh07\ndmTZsmVUV1cTExNDQkICzZo18+77Mm7cOJ599lneeecd+vTpQ3Jyct1vSC3ExMSQlpbWqLahvEni\nINDJ57ijU+bLfcBrxrIP2A90AxCRaKxzWmqMec3TwBhTYow568y05mGXEhVFuYSIjIS1a2H5cvjN\nb+zr2rXUyzkFIyEhodb/9MvKykhKSiI2NpY9e/awefPmxg8WhKysLPLy8gBYt24dx46dt7jD8ePH\niYuLo2XLlpSUlPD3v/8dgK5du3L48GG2bNkCWCdcVVVFTk4Of/zjH703PHiW+JKTkyksLATg1Vdf\nDaqprKyMdu3aERERwZIlSzjr3ImSk5PDggULOHnyZI1+Y2JiGDx4MI888khYl/cgtA5qC9BFRDo7\nNz7cg13O8+ULYDCAiLQBugKfOb9J/QnYbYyZ49tARNr5HA4DdoZIv6IoISQyEn74Q5g2zb5eiHMC\nuOaaa8jKyiIlJYWf/exn550fMmQIVVVVdO/enalTp9K3b98LGzAATz31FOvWrSMlJYVXXnmFtm3b\nnjdDSU1NJS0tjW7dunHvvfeSlZUFQLNmzfjzn//M5MmTSU1NJScnh8rKSiZOnMi1115Lz549SU1N\nZdmyZd6xHn30UTIyMoisxXg//vGPWbRoEampqezZs4e4uDivPYYOHUpGRga9evVi1qxZ3jajRo0i\nIiKCW2+9talN1DCMMSHbgNuBT4F/AU86ZQ8DDzv77YF1QBHW0Yxzyvthl/B2YJcAtwO3O+eWOPV3\nYB1eu7p0pKenm1CTn58f8jGaEtUbWq5Evbt27bpwIfXk+PHjF22shlBZWWnOnDljjDHmvffeM6mp\nqcYY9+oNxtNPP22mTZvWJH0F+rsAtpp6+JCQ/gZl7C3gb/iV/cFn/xBwnos2xrwLBIyRYYz5zyaW\nqSiK0iR88cUXjBo1iurqapo1a8a8efPCLanBDBs2jL1797riJp9w3yShKIpy2dClSxc+/PDDcMu4\nIFatWuWa6Osa6khRFEVxJeqgFEVRFFeiDkpRFEVxJeqgFEVRFFeiDkpRlCsWT/SIQ4cOcffddwes\nk52dzdatW2vtJzc31/vAK9QvfYdSN3oXn6IoYaHtrLaUnCipUdYmrg1Hnjhy0bW0b9/eG6m8MeTm\n5jJu3DhiY2MBm77jUsLz3FFEhLvmLO5SoyjKZUP2wuzztlnvnYtW4O+c/Mv829bF1KlTeeGFF7zH\n06dPZ9asWVRUVDB48GBvaozVq1ef17a4uJiUlBQATp06xT333EP37t0ZNmyYN0grBE6T8fvf/55D\nhw4xcOBABg4cCNRMhTFnzhwyMzNJSUkhNzfXO16wtB6+rFmzhszMTNLS0rjlllsoKbH2qaio4L77\n7uPGG2+kZ8+e3lBHb775Jr179yY1NZXBgwfXsIOHlJQUiouLKS4upmvXrowfP56UlBS+/PJL7/Xd\ndNNNdaYBGTBggDdyPEC/fv346KOP6nyfGoLOoBRFuSwYPXo0jz32GJMmTQIgLy+PtWvXEhMTw6pV\nq0hMTOSrr76ib9++DB06FBtR7XxefPFFYmNj2b17Nzt27KiRDylQmowpU6YwZ84c8vPzadWqVY2+\nCgsLWbBgAW+//Tbx8fFkZmZy8803k5SUVK+0Hv369WPz5s2ICC+99BLPPfccs2fPZsaMGbRs2ZKi\noiIAjh07RmlpKQ8++CAbN26kc+fO9UrLsXfvXhYtWuQN++S5vm+++Ya77rqr1jQgDzzwAAsXLiQ3\nN5dPP/2UyspKUlNT6/+G1QN1UIqihISCCQUXtX1aWhpHjx7l0KFDlJaWkpSURKdOnThz5gy//OUv\n2bhxIxERERw8eJCSkhLatm0bsJ+NGzcyZcoUAHr27EnPnj295/Ly8pg7dy5VVVUcPnyYXbt21Tjv\nz7vvvsuwYcOIi4sjPj6e4cOHs2nTJoYOHUrnzp3p1asXAOnp6RQXF5/X/sCBA4wePZrDhw9z+vRp\nb16rDRs2sGLFCm+9pKQk1qxZw4ABA7x1rr766jptdt1119WISei5vtOnT1NSUsKuXbsQEdq1a0ef\nPn0ASExMBGDkyJHMmDGDmTNnMn/+fCZMmFDneA1FHZSiKJcNI0eOZOXKlRw5coTRo0cDsHTpUkpL\nSyksLCQ6Oprk5GQqKysb3Pf+/fuZNWtWjTQZjenHQ/Pmzb37kZGRAZf4Jk+ezOOPP87QoUMpKChg\n+vTpDR4nKiqKap/skL6aPYFjoeb1RUVFMXny5FqvLzY2lpycHFavXk1eXp43snpTor9BKYoSFtrE\ntalXWUMYPXo0K1asYOXKlYwcORKw6SZat25NdHQ0+fn5fP7557X2MWDAAG/E8J07d7Jjxw4geJoM\nCJ7qo3///vzlL3/h5MmTnDhxglWrVtG/f/96X09ZWRkdOnQAYNGiRd7ynJycGr+3HTt2jL59+7Jx\n40b2798P1EzLsW3bNgC2bdvmPe+P7/UdPXq0zjQgABMnTmTKlCn06dOHpKSkel9XfdEZlKIoYSEU\nd+v16NGD8vJyOnToQLt2NjPP2LFjueOOO7jxxhvJyMigW7dutfbhyYPUvXt3unfvTnp6OlAzTUan\nTp28aTIAHnroIYYMGUL79u3Jz8/3lvfu3ZsJEyYwcOBAIiIimDhxImlpaQGX8wIxffp0Ro4cSVJS\nEoMGDfI6l2nTpjFp0iRSUlKIjIzkqaeeYvjw4cydO5fhw4dTXV1N69atWb9+PSNGjGDx4sX06NGD\nzMxMbrjhhoBj+V5f+/btA6YBOXXqFC1atGDDhg3Ex8eTnp5OYmJi6PJG1Sfk+aW+abqN81G9oeVK\n1KvpNoJzueo9ePCg6dKlizl79mzQOheSbkOX+BRFUZQGs3jxYjIzM3nmmWdC9vyULvEpiqIoDWb8\n+PGMHz8+pGPoDEpRlCbDrt4oiuVC/x7UQSmK0iTExMTw9ddfq5NSAOucvv76a2JiYhrdhy7xKYrS\nJHTs2JEDBw5QWloa8rEqKysv6IvvYnOl6o2JiaFjx46Nbq8OSlGUJiE6OtobxSDUFBQUkJaWdlHG\nagpUb+MI6RKfiAwRkU9EZJ+ITA1wvqWIrBGRj0TkYxG5r662InK1iKwXkb3Oa9M/HaYoiqKEnZA5\nKBGJBF4AfgB8DxgjIt/zqzYJ2GWMSQWygdki0qyOtlOBt4wxXYC3nGNFURTlMiOUM6ibgH3GmM+M\nMaeBFcCdfnUMkCA2rHA88H9AVR1t7wQ8MT8WAXeF8BoURVGUMBHK36A6AF/6HB8AMv3qPA+8DhwC\nEoDRxphqEamtbRtjzGFn/wgQMHiXiDwEPOQcVojIJ429kHrSCvgqxGM0Jao3tKje0KJ6Q0uo9V5X\nn0rhvkniNmA7MAi4HlgvIpvq29gYY0Qk4D2txpi5wNwmUVkPRGSrMSbjYo13oaje0KJ6Q4vqDS1u\n0RvKJb6DQCef445OmS/3Aa854Zn2AfuBbnW0LRGRdgDO69EQaFcURVHCTCgd1Bagi4h0FpFmwD3Y\n5TxfvgAGA4hIG6Ar8FkdbV8HfuTs/wg4P3+zoiiKcskTsiU+Y0yViPwEWAtEAvONMR+LyMPO+T8A\nM4CFIlIECPBzY8xXAIHaOl0/C+SJyAPA58CoUF1DA7loy4lNhOoNLao3tKje0OIKvaJhSRRFURQ3\norH4FEVRFFeiDkpRFEVxJeqgGoGIFItIkYhsF5GtTpmrQjCJyHwROSoiO33KgmoUkV84YaU+EZHb\nXKJ3uogcdOy8XURud4NeEekkIvkisssJ0fWoU+5K+9ai1632jRGRD3xCoP3aKXerfYPpdaV9fTRE\nisiHIvJX59h99q1P2l3dam5AMdDKr+w5YKqzPxX4XZg1DgB6Azvr0ogNJ/UR0BzoDPwLiHSB3unA\nEwHqhlUv0A7o7ewnAJ86mlxp31r0utW+AsQ7+9HA+0BfF9s3mF5X2tdHx+PAMuCvzrHr7KszqKbD\nVSGYjDEbsaGjfAmm8U5ghTHmW2PMfmAfNtzURSOI3mCEVa8x5rAxZpuzXw7sxkZOcaV9a9EbjHDr\nNcaYCucw2tkM7rVvML3BCPvnTUQ6Av8BvOSny1X2VQfVOAywQUQKxYZUgnqGYAozwTQGCi1V2xfY\nxWSyiOxwlgA9Sw6u0SsiyUAa9r9m19vXTy+41L7O8tN27IP4640xrrZvEL3gUvsCucB/A9U+Za6z\nrzqoxtHPGNMLG219kogM8D1p7LzY1ffvXwoagReB7wK9gMPA7PDKqYmIxAOvAo8ZY477nnOjfQPo\nda19jTFnnc9YR+AmEUnxO+8q+wbR60r7isgPgaPGmMJgddxiX3VQjcAYc9B5PQqswk53L4UQTME0\n1ics1UXHGFPifPCrgXmcW1YIu14RicZ+2S81xrzmFLvWvoH0utm+Howx3wD5wBBcbF8PvnpdbN8s\nYKiIFGMzRQwSkZdxoX3VQTUQEYkTkQTPPnArsJNLIwRTMI2vA/eISHMR6Qx0AT4Ig74aeD4sDsOw\ndoYw6xURAf4E7DbGzPE55Ur7BtPrYvt+R0SucvZbADnAHtxr34B63WpfY8wvjDEdjTHJ2DBybxtj\nxuFG+16MOzEupw07Zf/I2T4GnnTKr8EmUNwLbACuDrPO5dhlhTPYNeMHatMIPIm9O+cT4Acu0bsE\nKAJ2YD8k7dygF+iHXf7YgY3Gvx243a32rUWvW+3bE/jQ0bUT+JVT7lb7BtPrSvv6ac/m3F18rrOv\nhjpSFEVRXIku8SmKoiiuRB2UoiiK4krUQSmKoiiuRB2UoiiK4krUQSmKoiiuRB2U4lpExIjIbJ/j\nJ0RkehP1vVBE7m6KvuoYZ6SI7BaRfL/yZBG5t5F9vlePOi+JyPca0384EZECEckItw7FHaiDUtzM\nt8BwEWkVbiG+iEhUA6o/ADxojBnoV54MBHRQdfVvjPn3ugY1xkw0xuyqr0hFcSPqoBQ3UwXMBX7q\nf8J/BiQiFc5rtoi8IyKrReQzEXlWRMY6+XqKROR6n25uEZGtIvKpE5/ME/RzpohscYJ8/pdPv5tE\n5HXgvC9+ERnj9L9TRH7nlP0K+5Dsn0Rkpl+TZ4H+YvME/VREJojI6yLyNvCWiMSLyFsiss3p984g\n11ogIitFZI+ILHWiRtSYiYhIhYg8IzZf0WYRaeOUX+8cF4nI055+/a4rTkT+5rTdKSKjPdfm2Gin\niMz1G/d/HLvuFpE+IvKa2BxDTzt1kn307nb0xwYY+1YR+adjg1fExhLEeU93Oe/PLP92ymVEuJ5g\n1k23ujagAkjE5t9qCTwBTHfOLQTu9q3rvGYD32BzIDXHxgz7tXPuUSDXp/2b2H/SumCjV8QADwHT\nnDrNga3YHDjZwAmgcwCd7YEvgO8AUcDbwF3OuQIgI0CbbJwn+J3jCY6Gq53jKCDR2W+FTXEgAa61\nDBsbLQL4JzaQcY1xsVEk7nD2n/O5vr8CY5z9hz39+ukcAczzOW7pvPpGGVji038B5/IIPQoc8nkv\nDmCjFSQ7mrKcevNx8iZ5dDvXvBGIc8p/DvzKaf+Jjy2uCvffqW6h23QGpbgaY6NuLwamNKDZFmNz\nIH2LDc+yzikvwn45esgzxlQbY/YCnwHdsLEVx4tNnfA+9guxi1P/A2Pz4fjTBygwxpQaY6qApdgE\njA1lvTHGkxNLgN+KyA5s2JkOBE7h8oEx5oCxAUm3+12fh9NYZwRQ6FPn+8Arzv6yIJqKgBwR+Z2I\n9DfGlDnlA0XkfREpAgYBPXzavO7T9mOf9+IzzgUd/dIY8w9n/2XsTNOXvthEef9w3osfAddhHXIl\ndlY6HDgZRLdyGdCQtXRFCRe5wDZggU9ZFc4StYhEAM18zn3rs1/tc1xNzb95/zhfBusYJhtj1vqe\nEJFs7AwqlPj2PxY7I0s3xpwRG3k6JkAb32s9S+DP9BljjKmjTkCMMZ+KSG9s7L6nReQt7Czsf7Ez\ntC+dG1d8tfna2/+98IwdyPa+CNZhj/HXJCI3AYOBu4GfYB2kchmiMyjF9TizijzsDQceioF0Z38o\nNotpQxkpIhHO71LfxS4drQUeEZueAhG5QWzU+tr4ALhZRFqJSCQwBninjjbl2PTrwWiJzdlzRkQG\nYmcPTc1m7BIe2KjW5yEi7YGTxpiXgZlAb845o6+c34UaczfktSLyfWf/XuDdANqyROTfHB1xznsR\nj11mfAP722RqI8ZWLhF0BqVcKszG/rfsYR6wWkQ+wv6W1JjZzRdY55IIPGyMqRSRl7BLYNucH/5L\nOZf6OiDGmMMiMhWbB0iAvxlj6kq3sgM46+hfCBzzO78UWOMsoW3Fpptoah4DXhaRJ7E2LAtQ50Zg\npohUYyPNP2KM+UZE5mEjdx8BtjRi7E+wyT7nY286edH3pDGmVEQmAMtFpLlTPA3r2FeLSAzW1o83\nYmzlEkGjmSvKFYpz59wpY4wRkXuwN0zcWVe7Jhg3GXuDSEodVZUrHJ1BKcqVSzrwvDNT/Aa4P8x6\nFKUGOoNSFEVRXIneJKEoiqK4EnVQiqIoiitRB6UoiqK4EnVQiqIoiitRB6UoiqK4kv8HMI1y3knI\nNr4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e05e358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "if Version(sklearn_version) < '0.18':\n",
    "    from sklearn.learning_curve import learning_curve\n",
    "else:\n",
    "    from sklearn.model_selection import learning_curve\n",
    "\n",
    "\n",
    "\n",
    "pipe_lr = Pipeline([('scl', StandardScaler()),\n",
    "                    ('clf', LogisticRegression(penalty='l2', random_state=0))])\n",
    "\n",
    "train_sizes, train_scores, test_scores =\\\n",
    "                learning_curve(estimator=pipe_lr,\n",
    "                               X=X_train,\n",
    "                               y=y_train,\n",
    "                               train_sizes=np.linspace(0.1, 1.0, 10),\n",
    "                               cv=10,\n",
    "                               n_jobs=1)\n",
    "\n",
    "train_mean = np.mean(train_scores, axis=1)\n",
    "train_std = np.std(train_scores, axis=1)\n",
    "test_mean = np.mean(test_scores, axis=1)\n",
    "test_std = np.std(test_scores, axis=1)\n",
    "\n",
    "plt.plot(train_sizes, train_mean,\n",
    "         color='blue', marker='o',\n",
    "         markersize=5, label='training accuracy')\n",
    "\n",
    "plt.fill_between(train_sizes,\n",
    "                 train_mean + train_std,\n",
    "                 train_mean - train_std,\n",
    "                 alpha=0.15, color='blue')\n",
    "\n",
    "plt.plot(train_sizes, test_mean,\n",
    "         color='green', linestyle='--',\n",
    "         marker='s', markersize=5,\n",
    "         label='validation accuracy')\n",
    "\n",
    "plt.fill_between(train_sizes,\n",
    "                 test_mean + test_std,\n",
    "                 test_mean - test_std,\n",
    "                 alpha=0.15, color='green')\n",
    "\n",
    "plt.grid()\n",
    "plt.xlabel('Number of training samples')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.legend(loc='lower right')\n",
    "plt.ylim([0.8, 1.0])\n",
    "plt.tight_layout()\n",
    "# plt.savefig('./figures/learning_curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Addressing over- and underfitting with validation curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bL5t1ve7GjnUdHLbsGXw7PPdvby5pe/t2vnzKl7nypCt5R+M7+M653+Edje/I\nu38bRrH5xOJP5I/3dO5hw94N+aghKSfFjX+5MR++Z1zZOGbXzebdx7+bC4+/EHCH+U+97VSLR3iE\nMYEaBSSTsHcv7N/f01UcYOvrIe64rYbHHiwnGFQuuqSVD6xopnaM0+Maqq5nXyYDtXUwdszgHR1S\nTorWRCtjS8fSlmhj6c/cyAGlwVJObjyZKxZckZ8/qIpU8a7j33UY794w3hpjS8cytnRs/jzkD/H4\nlY+zYd8GNuzdkPci3Nq2FXAXgJ/7i3NpSRwQsKbPGIXG4cMEagTTn6s4wKZXw9zxsxoef6ScSDTL\n+z/cwvv/voWqmv6FqabGXTx7MGHy3L89C2nNjjW8vfHt3PKuW6iMVPLV077K7DGzmTd2nm0FYYwI\nqiJVvKPxHbyj8R35NC/KTiKT4OypZ/Prl3/dZ91tbdv47P2fZXzZeBrKGxhfPp6Gsgbmj5vPuLJx\nR6T9oxUTqBGGNwS3e8+BruIAr66P8Kuf1vD0X8soKXW47Mr9vO+yFiqqsgdcq6vLXbdUU+MO5UX6\niDjT1zYLQV8wHyxyStUULp59cd5CAvjwvA8fzls2jKOCN+c8tnQs//zOf+5XoFJOiqpIFa+3vM5f\nt/2VrrQb5v9fz/pXLp59Mev2rONz93+OhrKceJU30FDWwNKJS2msaERVR8z89pHGBGqEMJCrOMC6\n5yP86me1PPtUKeWVDh+5dh/vuaSVsvL+hamqyrWYotEDigDuDrF9DWGks2n+5Z3/wtKJS3sstjSM\nY5FpNdP42Xt+BrhWV3uynaZYU34YMegLMm/sPHZ07ODJ7U+yp3MPWc1y8wU301jRyOPbHufz//t5\nxpePZ1zZuLwltnz6chorGkk7aXziGxFb8hxuTKCGOQO5iqvCC2uj/Opntbz4TAlVNRmu+vReLnx/\nKyWlB8bGi8fda1RVuTvO9idMT25/kh/+7Yes3dl/gN0PzPnA4bg9wxgxDCYeoYhQGansEUtwZt3M\n/K7K4C7439O5J1+mrqSO86efT1NHE9vbt7Nmxxo6Uh2cOPZEGisaeWDzA3zxgS9SX1qft8DGl43n\nkrmXMKFiAp2pThQdlS7zJlDDlEJXccc5UJjWPlHCHbfV8vKLUWrqMnz8c3s4/+I2IpGBhWnyZNft\nvJCOZAcPbn6QBeMWMKV6St7p4TMnf4bvP/394t/sCCCTzeBkHVoTrfjE526bguD3+fPHx+qv3GOF\nQ41H6BFOzUxuAAAgAElEQVT0B5lQMSF/PqtuFjcuu7FHmVgqlt+scmr1VK466SqaYk00dTTxzM5n\nWNW5iuXTlzOBCdz72r18bfXXKA+V54cPG8ob8vucNcebiafjjC0dO+LmhE2ghhkDuYqrwlOPlvKr\nn9WycUOEMfVpPvWl3Zz3nnZC4QOFKZFwham8AiZNcq/lEU/HeWTrI6zauIq/vPEXUk6Kz739c1y7\n+FpOP+50Tj/udETkmBeotJOmM9WJ3+cn5A8xpWoKmWyGtJMmnU3jqOOeZ9NkMpkDdhotnFvwJt1F\nJC9yha9CwTOObQqtIS9CfCFO1sl/txaMW8CXln6JplgTOzt20hRr4oXdL3D1wqsB+N2G3/FvT/wb\nPvExtnRsfi7sK6d+hTGlY9jRvoP2ZDsN5Q3DLhiBCdQwIZGAvfvcTfl6u4pns/DXh8u447ZatmwM\n0zAhxWf/cRdnXdDe575LyaRrNZWXw8TjoKxXDNtEJsEZPz+DtmQbY0rGcOkJl3LhjAuZXz8f6PlQ\nPVK7yQ430k6aWCpGwBdgcvVkaqO1PPbaY4wpHXPQulnNktUsTtbpPlanR7oncJlsBkfdc2+X20KR\n60vgvPS+RK7wZYxeCi31mXUzBwwBtmzyMirDleyM7aSpo4mmWBPr9qzLW2h3rb+LW55xQ6SWBEvy\nFth3z/0ulZFKXtv/Gi3xFhrKG7j0N5eyP57bOTS3/Ku+tJ5dX9hVlPs0gTrKeK7ira2upVTokedk\nYPX/lnPnz2t4c0uYxkkpvvB/mzjz3I4+t0wvFKYZx7vC5GQdntz+N1a9tormRDM3X3AzkUCETy35\nFMfXHs+S8UsGHJY6XMMaI4WUk6Iz1UnQF2RK9RRqo7VvedjOE4hDCVjaW+D6ErmUkyKTzeRfhaLX\nl8ipKkLuGNdzzNvCwkRu9DK9Zno+UktfXDz7YuaMmdNtgeVEzIsk/6uXfsUd63pvat7N7s7d/eYd\nKiZQR4G8q/hu1zMvGHSjgHvClMnAQ6squPPnNezcFmLytCRf+ZednHpWrM+N/ZJJ1wIrKYEZM1zr\n65V9G/jtM7/lvk33sbdrLyXBEs6Zeg5O1sHv83P5/MuP7E0Pc1JOilgqRtgfZlr1NGpKao7qA9on\nPnz+Q/v8gQQuq1kyTqaHoHlWXG+RKxS4TDZDW6KNaDCa/wVujGwmVU1iUtWkfvOvXXwt500/j6aO\nJr7y0FeOYMtMoI4o2Wy3q3gi4a47KnQVT6WEB/5YwZ2317CnKci0mQn+6ds7eccZsT4Ds6ZSrsUU\njcLUqcrO5KsEIpMRifDI1ke4c/2dnDHpDC48/kKWTVpGNNiP294xTMpJEUvGiAQizKiZQXW0etRY\nDn6fHz9Dd9pQ1QME7qmNTzGhfAL74/tpibuRFYL+IJFAxLa4GKWMKxuXX3BsAjUK8VzFm5pcUSn0\nyANIJoQ//76S3/yimn17gsw6Ic6nvrSHJad09rmFRTrtDg1GIhAa8wYP7riXP639E6+3vM4Plv+A\n86afx9+f+PesmLfC9k3qh2QmSSwVoyRUwvG1x1MVrRo1wnS48IYAC0XOJz7GV4xnfMV40k6arnQX\nbYk2muPNdDgdCELQHyQajFp/GoeMCVQRSaehpcWdY/JcxQvXHsW7hD/9torf/k81Lc0BTjypi//z\ntd2ctKTroMJUWr+b6x/7JOv2uDveLx6/mBvm3cDbJrwNoMc6DKObRCZBV7qLaDDKrLpZI2rDyeFG\n0B+k0u+u+Tmu6jiSmSRd6S6a4820JFpwsm5YrUggQiQQsX4eBfTlNFVfWl+0zzOBKgIDuYoDdMZ8\n3HNXFXf/qpr2Nj8nLenkq1c1ceLCeJ/XS6dhV1szz7TeT2WlcMX8S8lqHdWRar58ype5YMYFFvPr\nIMTTceLpOKWhUmbXzaYiXGEPzMNMOBAmHAhTHa1GVYln4nSmOmmON9OWbANAEJu/GsE8ftXjpJ00\nb774JueffX7RP88E6jDiuYq3NLvnpWXgK3gGdrT5+P3Kav5wZxWxDj9vOyXGZVc2M2deos/rtcVj\n/GXbgzy5/15ebHkCRx2WTlzKlXIpfvHz0/f89Ajc1cgmno7Tle6iPFzOnLFzKA+VmzAdAUSEkmAJ\nJcESxpSOIatZutJddCQ72N/VPX8V8AWIBCIjbgGpcWQoqkCJyHLg+4Af+Kmq3tQrvxq4DZgGJIAr\nVXVdLm8r0AE4QEZVF+fSa4A7gcnAVuASVT0wDv4RpNBVPBBwt0IvfAa2tvj53S+rufc3lXR1+lm6\nrIPLrmxmxuzkAddKOSl8GqKzE/7fq1/lyb33M6F8AleddBUXHn8hM2tty/PB0JXuIp6OUxmuZO7Y\nuSZMRxmf+CgLlVEWKqOhvIFMNpOfv9rftZ9YKga4w4bRQNQichhAEQVKRPzAzcA5wHZgjYjco6ov\nFxT7KvC8qr5PRGblyp9VkH+mqvaOVno98JCq3iQi1+fOv1ys++gPz1V81y7XMy8U6un4ALB/n5/f\n/qKaP/2uilRSOP3sDi69spkp01M9ymWyaZ7d9wSPbL+Xp/Y8xHff9gdOmjaRzzd8HEevZH79fHu4\nDpLOVCeJTILqaDXTqqeZk8gwJeALUBGuoCJcwcTKifn5q5Z4S37+SlGbvzrGKaYFtQTYpKqbAURk\nJXARUChQc4CbAFT1FRGZLCL1qjrQyq+LgGW549uB1RxBgcpmu4O3eq7iVVU9y+zdFeCu/67hvj9U\n4DjCmed1cOkV+5k4uee26ru6tnPn67fy16b76Ui3Uhao5OzJFzB1GlRXQzVzj9RtjXhiqRgpJ0V1\npJoZtTNGZeDM0Uzv+atEJuHOXyWaaU205rekiAaihAOD3EnTGPEUU6AmANsKzrcDJ/cq8wJwMfCY\niCwBJgGNwG5AgQdFxAF+oqq35urUq2pT7ngX0KcLiYhcA1wDUF9fz+rVq4d8I6l4im0vbCebFdJp\n13ry+SAiQBK8gbrdu6L85q4pPPzQBFThzLN28oFLNtPQ4Do/JHYrGztfwyc+ppfOIJPYwyPb72FJ\n1ds5Y8wZvK1mESF/EH0jw5Y3tgy5vcUg2ZVky/PDq00oOOr+0g74AgR9QRKSoImmg9cdArFY7JC+\nR6OBo9UH3lqs5mwzWc26kTByAXqPtHU1LP8vHEFUlXQ8fUS+B0fbSeIm4Psi8jzwEvAc7pwTwKmq\nukNExgIPiMgrqvpoYWVVVRE5MEqqm3crcCvA4sWLddmyZUNu5J/uv4/2QCM+DRGt4ID4d9vfCLLy\nv2p4+L4K/D5l+UXt/N3lzdQ3ZIBxbGl/lb/sXMVfmv5EU9c23j72LP5P7Y+oKpnCn9//N+rrQn1G\niBhODKdQR6pKZ7qTlJOitqSWCeUTKAmWHLziIbJ69WoO5Xs0GhgOfeDNX7Un29kf308yk0RVj9j8\n1XD6v3A08Lz4jsT3oJgCtQOYWHDemEvLo6rtwBUA4v4M2gJszuXtyL3vEZG7cYcMHwV2i0iDqjaJ\nSAOwp4j3ALihhwIlUNYrEMPW10Os/K8aHn2gnGBQueiSVj6wopnaMd3bqv/T3z7Gmr2P4hM/C2rf\nwfsaP8mSurNpaHB3sg0EzN12sKgqsVSMTDZDXUkd48vHW3SMY5DC+avGikZSTio/f9Ucb3ZDNAmE\n/WGigajNX41giilQa4AZIjIFV5guBT5UWEBEqoAuVU0BVwOPqmq7iJQCPlXtyB2fC3w9V+0e4HJc\n6+ty4A9FvIc8haGGNr0a5o6f1fD4I+VEolne/+EWLv5QC07pTlbvXMWzW/7K1xf/BL8vwDvGnc3b\nxizjpPLlVIVrqa+H2lrX288YHKpKR6qDjJOhvqyecWXjTJiMPCF/iJA/RFWkislVk0k6SWLJGC2J\nlvz8FQLRgLv+ygRr5FC0x6SqZkTkOuB+XDfz21R1vYhcm8u/BZgN3J4bplsPXJWrXg/cnfsiBYBf\nqep9ubybgLtE5CrgDeCSYt2D48Cf/wx3rpzGlHkhxowRVt5Ww9N/LaOk1OGyK/dz9gc283zXKr75\n2irWNa9BUaZXzKU5uZfaSAOnVX/QvaF612Lqa3sMo2+ymqUj2UFWs+4+NuUNRAKRo90sYxgjInnP\nv7rSOrKaJZ6OE0vFaI67DhfgximMBCK2YHiYU9Tf8aq6CljVK+2WguMngeP7qLcZmN/PNffT0xW9\nKDgOnHcePP00xGLT8d0B2axQVuHwwWu3cP77mhlXU84Tu9bwH+tuZGLpVD58/HWc0XAh40un0BmD\nzhiMHetaTCZMg6dQmLxAlea5ZQwFn/goDZVSGiqlvqyeTDZDPB2nLdlmAW9HAPbX6Ic//xkeWjgO\nTnM93rO59DghfueD4L6P8+Ga61g85jR+dNofmFI+ExA6OyHW0S1MIfuBNmiymqU90Q4CDWUN1JfV\n2y9c47AS8AUoD5dTHi7vMX/VmmjNz18pStgfJhKIWMDbo4wJVD889xxQeuByLIcUFx63gpPrzwQg\n5A8zpXwWsZjrfj5mDNTVmTC9FZysQ3uyHRFhfMV4xpaONWEyjgi956+89VctiRZa4i1kNYsgRIIR\nwv6wzV8dYUyg+uGkk4Bn+s775Nx/BLqjSWSzrrU0dqwJ01vByTp0pDoAmFgxkTGlYywmm3FU8eav\naktq8wFvO5IdPeavnKxDR7IjvxNx4Xos7/horM8ajZhA9cP559OvQKm68fcyGaitg7FjIGxTJIMm\nk83QkerAh4+JFROpK6kzYTKGHYUBb+vL6nGyDl3pLp5+7WnGlY3L7zqc1SxO1nHPyZB1svl0cCO4\nK9pjZ2Ihd0z3Mk5P1DzR8469Yca88OXyjgVMoPphoIWz7e2uR159vQnTWyGTzdCR7MAvfiZVTKKu\ntM4mpY0Rg9/npzxcTsAXYELFhIOWV1WU7l2JC3co7is9k83gZB0cdcXOUSef7uV5x0hO+ArEDjhA\nCIEell1fVt5wtvrs6TAA9aX17O7sOQ9VHa5j1iw3Bp8xONJOmlgqRsAXYHLVZOpK6ixatTHqKXz4\nH24OJnaFeZ6wFYrdoVh9jjr9tutwYwI1ALu+sAuAe1bdh6+ukYnjQz12xDUGJu2k6Uh2EPKHmFI9\nhdporQmTYRwGRAS/+PFzeP8/Ddbqe3bTs4f1c/vDBGoQhELQOBlC9mwdFCknRWeqk5A/xPSa6VRH\nq02YDGMEMFir70i535tAGYeNlJMilooR9ofzwmTrSAzDGComUMYhk3JSxJIxosEox9ccT1W0yoTJ\nMIxDxgTKGDLJTJLOdCfRYJSZdTOpilQNOy8gwzBGLiZQxlvGW21fGiplVt0sKsOVJkyGYRx2TKCM\nQRNPx+lKd1EeLmfOmDlUhCtMmAzDKBomUMaAeME0M9kMQV+QuWPnUh4qN2EyDKPomEAZPfD2z0k5\nKQBKgiVMrJhILBBjztg5R7l1hmEcS5hAGXkrKatZ/OKnJlpDTbSG0lBpPqr4q/LqUW6lYRjHGiZQ\nxyD9WUkV4QpKgiU2fGcYxrDABOoYIeWkiKfjZDWLT3xUR6upjdb2sJIMwzCGEyZQo5RCK0lViYai\nTCifQEXEtZJsIa1hGMMdE6hRhFlJhmGMJooqUCKyHPg+4Ad+qqo39cqvBm4DpgEJ4EpVXSciE4H/\nBuoBBW5V1e/n6twIfAzYm7vMV1V1VTHvY7ji7fiZyqRQlEgwYlaSYRijhqIJlIj4gZuBc4DtwBoR\nuUdVXy4o9lXgeVV9n4jMypU/C8gAn1fVZ0WkHHhGRB4oqPs9Vf33YrV9OFNoJYkI1ZFqJlZMpCxU\nRjhguycahjF6KKYFtQTYpKqbAURkJXARUChQc4CbAFT1FRGZLCL1qtoENOXSO0RkAzChV91jAs9K\nSmaSAESCEcaXj6cyUmlWkmEYo5piCtQEYFvB+Xbg5F5lXgAuBh4TkSXAJKARyG9jKyKTgZOApwvq\nfVpEPgKsxbW0Wnp/uIhcA1wDUF9fz+rVq4d8I6l4iu0vbj9i7tfeJmGKu4ul3+cnIAF8Ph9x4rRw\nwO0WnVgsdkh9OBqwPrA+AOsDOHJ9cLSdJG4Cvi8izwMvAc8B+f2ERaQM+C3wWVVtzyX/GPgG7tzU\nN4DvAFf2vrCq3grcCrB48WJdtmzZkBt534P30TivsWiOBqpKIpMg4SRAIRKIUFtSS2W4ktJQ6bCw\nklavXs2h9OFowPrA+gCsD+DI9UExBWoHMLHgvDGXlicnOlcAiGuebAG8IcEgrjj9UlV/V1Cn0Lr6\nT+DeIrW/qKSdNPFMHCfrICJURaporGi0uSTDMIwcxRSoNcAMEZmCK0yXAh8qLCAiVUCXqqaAq4FH\nVbU9J1Y/Azao6nd71WnIzVEBvA9YV8R7OGz0tpLC/jDjysZRGXbnkmxLdMMwjJ4UTaBUNSMi1wH3\n47qZ36aq60Xk2lz+LcBs4HYRUWA9cFWu+inACuCl3PAfdLuTf1tEFuAO8W0FPl6sezhUMtkM8XSc\nTDYDQFWkignlEygLlxEJRI5y6wzDMIY3RZ2DygnKql5ptxQcPwkc30e9vwJ9eiSo6orD3MzDRt5K\nyiRQVSKBCGNLx1IVqTIryTAM4y1ytJ0kRjxmJRmGYRQHE6i3iKqSdJLE03EAQv4QY0rGUBWtojRY\nalaSYRjGYeKgAiUinwb+p6+1RscSsVQMyY06VoYraahuoDxcblaSYRhGkRiMBVWPG6boWdy4efer\nqha3WcMLv8/P+LLxVEXduaSAzwxPwzCMYnPQFaCq+o/ADFy3748CG0XkmyIyrchtGzYEfUGOqzqO\ninCFiZNhGMYRYlAhCnIW067cKwNUA78RkW8XsW2GYRjGMcxg5qA+A3wE2Af8FPiiqqZFxAdsBL5U\n3CYahmEYxyKDGa+qAS5W1TcKE1U1KyLvKk6zDMMwjGOdwQzx/Rlo9k5EpEJETgZQ1Q3FaphhGIZx\nbDMYgfoxECs4j+XSDMMwDKNoDEagpNCtXFWz2AJfwzAMo8gMRqA2i8g/iEgw9/oMuS0xDMMwDKNY\nDEagrgWW4m6Z4e2Ke00xG2UYhmEYBx2qU9U9uHs5GYZhGMYRYzDroCK4+zTNBfKB51T1gG3WDcMw\nDONwMZghvl8A44DzgL/gbt3eUcxGGYZhGMZgBGq6qv4T0KmqtwMX4s5DGYZhGEbRGIxApXPvrSJy\nAlAJjC1ekwzDMAxjcOuZbhWRauAfgXuAMuCfitoqwzAM45hnQAsqFxC2XVVbVPVRVZ2qqmNV9SeD\nubiILBeRV0Vkk4hc30d+tYjcLSIvisjfchbagHVFpEZEHhCRjbn36rdwv4ZhGMYIYUCBykWNGFK0\nchHxAzcD5wNzgMtEZE6vYl8FnlfVebgR078/iLrXAw+p6gzgody5YRiGMcoYzBzUgyLyBRGZmLNe\nakSkZhD1lgCbVHWzqqaAlcBFvcrMAR4GUNVXgMkiUn+QuhcBt+eObwfeO4i2GIZhGCOMwcxBfTD3\n/qmCNAWmHqTeBGBbwbkXhaKQF4CLgcdEZAkwCdeNfaC69aralDvehbsl/QGIyDXkIl7U19ezevXq\ngzS3f2Kx2CHVHw1YH1gfgPUBWB/AkeuDwUSSmFLEz78J+L6IPA+8BDwHOIOtrKoqItpP3q3ArQCL\nFy/WZcuWDbmRq1ev5lDqjwasD6wPwPoArA/gyPXBYCJJfKSvdFX974NU3QFMLDhvzKUVXqMduCL3\nOQJswQ1EGx2g7m4RaVDVJhFpAPYc7B4MwzCMkcdg5qDeVvA6DbgReM8g6q0BZojIFBEJ4cbzu6ew\ngIhU5fIArgYezYnWQHXvAS7PHV8O/GEQbTEMwzBGGIMZ4vt04bmIVOE6LRysXkZErgPuB/zAbaq6\nXkSuzeXfAswGbs8N063HjfnXb93cpW8C7hKRq4A3gEsGdaeGYRjGiGIoGw92AoOal1LVVcCqXmm3\nFBw/CRw/2Lq59P3AWW+hvYZhGMYIZDBzUH/E9doDd0hwDnBXMRtlGIZhGIOxoP694DgDvKGq24vU\nHsMwDMMABidQbwJNqpoAEJGoiExW1a1FbZlhGIZxTDMYL75fA9mCcyeXZhiGYRhFYzACFciFGwIg\ndxwaoLxhGIZhHDKDEai9IpJf9yQiFwH7itckwzAMwxjcHNS1wC9F5Ie58+24kccNwzAMo2gMZqHu\n68DbRaQsdx4reqsMwzCMY56DDvGJyDdFpEpVY6oay20y+M9HonGGYRjGsctg5qDOV9VW70RVW4AL\nitckwzAMwxicQPlFJOydiEgUCA9Q3jAMwzAOmcE4SfwSeEhE/gsQ4KN072hrGIZhGEVhME4S3xKR\nF4CzcWPy3Y+7861hGIZhFI3BDPEB7MYVp78D3glsKFqLDMMwDIMBLCgROR64LPfaB9wJiKqeeYTa\nZhiGYRzDDDTE9wrwGPAuVd0EICKfOyKtMgzDMI55BhriuxhoAh4Rkf8UkbNwnSQMwzAMo+j0K1Cq\n+ntVvRSYBTwCfBYYKyI/FpFzj1QDDcMwjGOTgzpJqGqnqv5KVd8NNALPAV8uessMwzCMY5rBevEB\nbhQJVb1VVc8aTHkRWS4ir4rIJhG5vo/8ShH5o4i8ICLrReSKXPpMEXm+4NUuIp/N5d0oIjsK8iyq\nhWEYxihkMAt1h4SI+IGbgXNwI6CvEZF7VPXlgmKfAl5W1XeLyBjgVRH5paq+CiwouM4O4O6Cet9T\n1cKt6A3DMIxRxluyoN4iS4BNqro5t8nhSuCiXmUUKBcRAcqAZiDTq8xZwOuq+kYR22oYhmEMM4op\nUBOAbQXn23NphfwQmA3sBF4CPqOq2V5lLgXu6JX2aRF5UURuE5Hqw9hmwzAMY5ggqlqcC4t8AFiu\nqlfnzlcAJ6vqdb3KnAL8H2Aa8AAwX1Xbc/khXPGaq6q7c2n1uAuHFfgG0KCqV/bx+dcA1wDU19cv\nWrly5ZDvJRaLUVZWNuT6owHrA+sDsD4A6wM49D4488wzn1HVxQcrV7Q5KNx5o4kF5425tEKuAG5S\nVyU3icgWXLf2v+Xyzwee9cQJoPBYRP4TuLevD1fVW4FbARYvXqzLli0b8o2sXr2aQ6k/GrA+sD4A\n6wOwPoAj1wfFHOJbA8wQkSk5S+hS4J5eZd7EnWPyLKOZwOaC/MvoNbwnIg0Fp+8D1h3mdhuGYRjD\ngKJZUKqaEZHrcKOf+4HbVHW9iFyby78Fd4ju5yLyEm6Uii+r6j4AESnF9QD8eK9Lf1tEFuAO8W3t\nI98wDMMYBRRziA9VXQWs6pV2S8HxTqDPqBSq2gnU9pG+4jA30zAMwxiGFHOIzzAMwzCGjAmUYRiG\nMSwxgTIMwzCGJSZQhmEYxrDEBMowDMMYlphAGYZhGMMSEyjDMAxjWGICZRiGYQxLTKAMwzCMYYkJ\nlGEYhjEsMYEyDMMwhiUmUIZhGMawxATKMAzDGJaYQBmGYRjDEhMowzAMY1hiAmUYhmEMS0ygDMMw\njGGJCZRhGIYxLDGBMgzDMIYlJlCGYRjGsKSoAiUiy0XkVRHZJCLX95FfKSJ/FJEXRGS9iFxRkLdV\nRF4SkedFZG1Beo2IPCAiG3Pv1cW8B8MwDOPoUDSBEhE/cDNwPjAHuExE5vQq9ingZVWdDywDviMi\noYL8M1V1gaouLki7HnhIVWcAD+XODcMwjFFGMS2oJcAmVd2sqilgJXBRrzIKlIuIAGVAM5A5yHUv\nAm7PHd8OvPfwNdkwDMMYLoiqFufCIh8Alqvq1bnzFcDJqnpdQZly4B5gFlAOfFBV/5TL2wK0AQ7w\nE1W9NZfeqqpVuWMBWrzzXp9/DXANQH19/aKVK1cO+V5isRhlZWVDrj8asD6wPgDrA7A+gEPvgzPP\nPPOZXiNjfRIY8iccHs4DngfeCUwDHhCRx1S1HThVVXeIyNhc+iuq+mhhZVVVEelTYXOCdivA4sWL\nddmyZUNu5OrVqzmU+qMB6wPrA7A+AOsDOHJ9UMwhvh3AxILzxlxaIVcAv1OXTcAWXGsKVd2Re98D\n3I07ZAiwW0QaAHLve4p2B4ZhGMZRo5gCtQaYISJTco4Pl+IO5xXyJnAWgIjUAzOBzSJSmhv+Q0RK\ngXOBdbk69wCX544vB/5QxHswDMMwjhJFG+JT1YyIXAfcD/iB21R1vYhcm8u/BfgG8HMReQkQ4Muq\nuk9EpgJ3u1NMBIBfqep9uUvfBNwlIlcBbwCXFOseDMMwjKNHUeegVHUVsKpX2i0FxztxraPe9TYD\n8/u55n5yVpdhGIYxerFIEoZhGMawxATKMAzDGJaYQBmGYRjDEhMowzAMY1hiAmUYhmEMS0ygDMMw\njGGJCZRhGIYxLDGBMgzDMIYlJlCGYRjGsMQEyjAMwxiWmEAZhmEYwxITKMMwDGNYYgJlGIZhDEuO\n9o66hmGMEtLpNNu3byeRSBztphSVyspKNmzYcLSbcVQZbB9EIhEaGxsJBoND+hwTKMMwDgvbt2+n\nvLycyZMnk9vLbVTS0dFBeXn50W7GUWUwfaCq7N+/n+3btzNlypQhfY4N8RmGcVhIJBLU1taOanEy\nBo+IUFtbe0gWtQmUYRiHDRMno5BD/T6YQBmGYRjDEhMowzBGBa2trfzoRz8aUt0LLriA1tbWAct8\n7Wtf48EHHxzS9Y2hUVSBEpHlIvKqiGwSkev7yK8UkT+KyAsisl5ErsilTxSRR0Tk5Vz6Zwrq3Cgi\nO0Tk+dzrgmLeg2EYxcFx4N574RvfcN8d59CuN5BAZTKZAeuuWrWKqqqqAct8/etf5+yzzx5y+44G\nB7vv4U7RBEpE/MDNwPnAHOAyEZnTq9ingJdVdT6wDPiOiISADPB5VZ0DvB34VK+631PVBbnXqmLd\ng2EYxcFx4Lzz4LLL4IYb3Pfzzjs0kbr++ut5/fXXWbBgAV/84hdZvXo1p512Gu95z3uYM8d9fLz3\nve9l0aJFzJ07l1tvvTVfd/Lkyezbt4+tW7cye/ZsPvaxjzF37lzOPfdc4vE4AB/96Ef5zW9+ky9/\nw3hXStQAABUZSURBVA03sHDhQk488UReeeUVAPbu3cs555zD3Llzufrqq5k0aRL79u07oK2f+MQn\nWLx4MXPnzuWGG27Ip69Zs4alS5cyf/58lixZQkdHB47j8IUvfIETTjiBefPm8R//8R892gywdu1a\nli1bBsCNN97IihUrOOWUU1ixYgVbt27ltNNOY+HChSxcuJAnnngi/3nf+ta3OPHEE5k/f36+/xYu\nXJjP37hxY4/zI00x3cyXAJtUdTOAiKwELgJeLiijQLm4M2llQDOQUdUmoAlAVTtEZAMwoVddwzCG\nKZ/9LDz/fP/5+/fDyy9DNuuex2LwyCOwYAH/v707D46qyhc4/v2RhOykElBAUJY3CBlDmmwEH4sg\ni6BTmQEMQXAokGVwfKBlzYzooxT1UcNIYCgKlwmbaLmAIKI+WWQkBal5MIEMSwggKlEwCkiAbASz\nnPdHd5pO0lkautM9ye9T1UXfe8+599xfd/rHubf7HDp2dF5nwABYsaLhfS5ZsoTc3FwO2w6cmZlJ\nTk4Oubm59q85r1u3jqioKK5du0ZSUhITJ06kY50Dnj59mvfee4/Vq1czadIktmzZwqOPPlrveJ06\ndSInJ4fXXnuN9PR01qxZw4svvsj999/Ps88+y44dO1i7dq3Tti5evJioqCiqqqoYOXIkR48epV+/\nfqSlpbFx40aSkpIoKioiODiYjIwM8vPzOXz4MP7+/hQWFjYcBJu8vDyysrIIDg6mrKyMzz//nKCg\nIE6fPs0jjzzCwYMH2b59O9u2bePAgQOEhIRQWFhIVFQUERERHD58mAEDBrB+/XpmzJjR5PE8xZOX\n+LoBZx2Wz9nWOVoFRAMFwDHgSWNMtWMBEekJxAEHHFbPE5GjIrJORCLd3G6llIeVlNxITjWqq63r\n3WngwIG1foOzcuVKLBYLgwYN4uzZs5w+fbpenV69ejFgwAAAEhISyM/Pd7rvCRMm1CuTlZXF5MmT\nARg7diyRkc4/njZt2kR8fDxxcXEcP36cvLw8Tp06RdeuXUlKSgKgQ4cO+Pv7s3v3bn73u9/h72/t\nT0RFRTV53ikpKQQHBwPWH1DPnj2b/v37k5qaSl6e9f/5u3fvZsaMGYSEhNTa76xZs1i/fj1VVVVs\n3LiRKVOmNHk8T/H2D3UfAA4D9wP/AXwuIvuMMUUAIhIGbAGeqlkHvA68jLX39TKwDHis7o5FZA4w\nB6Bz585kZmbedCNLSkpuqX5roDHQGEDjMYiIiKC4uBiw3ldqzPbtfjz2WDClpTe+hhwaavjLX64x\nblzD1/lsu2+wbdXV1fY2lJWVERgYaF/et28fO3fuZNeuXYSEhPDggw9SWFhIcXExxhhKSkooKSkh\nICDAXqeyspLS0lKKi4upqKjg2rVrVFVVYYyhoqKC4uJiysvLuX79OsXFxVRXV1NSUmKvX7PfwMBA\nezvz8/N55ZVXyMzMJDIykrlz53LlyhVKS0upqqqy161RWVlJWVlZvfXt2rWjqKiIwMBACgsL7XWv\nX79OWFiYvfySJUuIjIwkKyuL6upqbrvtNoqLi/n5558pLy+vt98xY8bwwgsvcO+992KxWGjfvn29\nMs7a2ZDy8vKb/rvxZIL6HrjTYbm7bZ2jGcASY4wBvhKRM0A/4J8iEoA1Ob1jjPmwpoIx5nzNcxFZ\nDXzq7ODGmAwgAyAxMdHUXJ+9GZmZmdxK/dZAY6AxgMZjcOLEiWaPsDBxImRkwIEDUFoKoaGQnCxM\nnBiCn9/Nta1r166Ulpba2xASEoK/v799uaKigk6dOtG5c2dOnjxJdnY2ISEhhIeHIyKEhYUB1g/+\nmjqBgYFUVFQQHh5OQEAAwcHB+Pn52cuHh4cTGhqKn58f4eHhDB06lM8++4xnnnmGXbt2ceXKFXu5\nGtXV1YSHh9O9e3cuXrzI7t27GT16NPHx8Vy4cIGTJ0+SlJREcXExwcHBjBs3jrfffpuHHnrIfokv\nKiqK3r17c+rUKXr37s327dvtbQgMDCQwMNB+zPLycnr06EFERIS9ZxQeHs5DDz3ESy+9xMyZM2td\n4gsPD2fcuHE8/fTTrF271ulr6spoGkFBQcTFxd3Ua+rJS3zZQB8R6WX74sNk4OM6Zb4DRgKISGeg\nL/CN7Z7UWuCEMWa5YwUR6eqwOB7I9VD7lVIe4ucHO3fCe+/BSy9Z/925k5tOTgAdO3Zk8ODBxMTE\n8Mc//rHe9rFjx1JZWUl0dDQLFixg0KBBt3AGzr3wwgvs2rWLmJgYPvjgA7p06VLvg9xisRAXF0e/\nfv2YMmUKgwcPBqB9+/Zs3LiRefPmYbFYGD16NOXl5cyaNYu77rqL2NhYLBYL7777rv1YTz75JImJ\nifg1Erjf//73bNiwAYvFwsmTJwkNDbXHIyUlhcTERAYMGEB6erq9ztSpU2nXrh1jxoxxd4hcY4zx\n2AN4EPgS+Br4b9u6ucBc2/M7gF1Y7z/lAo/a1g/BegnvKNZLgIeBB23b3raVP4o14XVtqh0JCQnm\nVuzZs+eW6rcGGgONgTGNxyAvL6/lGuJFRUVFDW4rLy83FRUVxhhj/vGPfxiLxdJSzXKrpUuXmoUL\nFza4vbEY1OXsfQEcNM3IIR69B2WsXwH/rM66NxyeFwD1UrQxJgtwOkaGMea3bm6mUkq5xXfffcek\nSZOorq6mffv2rF692ttNctn48eP5+uuv+eKLL7zdFK9/SUIppVqNPn368K9//cvbzbglW7du9XYT\n7HSoI6WUUj5JE5RSSimfpAlKKaWUT9IEpZRSyidpglJKtVk1P84tKCjg4Ycfdlpm+PDhHDx4sNH9\nrFixgrKyMvtyc6bvUE3TBKWUavPuuOMO+0jlN6NugmrO9B2+xBhDdd3BEX2AJiillFd0Se+CvCi1\nHl3Su9z0/hYsWMCrr75qX160aBHp6emUlJQwcuRI+9QY27Ztq1c3Pz+fmJgYAK5du8bkyZOJjo5m\n/Pjx9uk2wDpNxn333VdrmoyVK1dSUFDAiBEjGDFiBFB7Kozly5cTExNDTEwMK2zDsTc2rYejTz75\nhOTkZOLi4hg1ahTnz1tHeispKWHGjBn079+f2NhYtmzZAsCOHTuIj4/HYrEwcuTIWnGoERMTQ35+\nPvn5+fTt25dp06YRExPD2bNnXZoGZNiwYfaR4wGGDBnCkSNHmv16NYf+Dkop5RHD3xxeb92v7v4V\nf/jPPwBwvvR8ve2O6+rWz5ye2ejx0tLSeOqpp3jiiScA64jhO3fuJCgoiK1bt9KhQwd++uknBg0a\nREpKCtYR1ep7/fXXCQkJ4cSJExw9erTWfEiLFy8mICCAkJAQ+zQZ8+fPZ/ny5ezZs4dOnTrV2teh\nQ4dYv349Bw4cwBhDcnIy9913H5GRkc2a1mPIkCHs378fEWHNmjW88sorLFu2jJdffpmIiAiOHTsG\nwOXLl7l48SKzZ89m79699OrVq1nTcpw+fZoNGzbYh31q7jQgVVVVzJw5kzfffJMVK1bw5ZdfUl5e\njsViafKYrtAelFKqVYiLi+PChQsUFBRw5MgRIiMjufPOOzHG8NxzzxEbG8uoUaP4/vvv7T0RZ/bu\n3WtPFLGxscTGxtq3bdq0iaFDh9aaJqMxWVlZjB8/ntDQUMLCwpgwYQL79u0Dmjetx7lz53jggQfo\n378/S5cu5fjx44B1qoyaRAwQGRnJ/v37GTZsmH16keZMy9GjR49aYxK6Mg1Iamoqn376KRUVFaxb\nt47p06c3eTxXaQ9KKeURTfV4PFE/NTWVzZs38+OPP5KWlgbAO++8w8WLFzl06BABAQH07NmT8vJy\nl/d95swZ0tPT+eKLL7jrrruYPn36Te2nhuMUHH5+fk4v8c2bN4+nn36alJQUMjMzWbRokcvH8ff3\nr3V/ybHNNQPHwo3zy87OJjIyssnzCwkJYfTo0Wzbto1NmzZx6NAhl9vWFO1BKaVajbS0NN5//302\nb95MamoqAFevXuX2228nICCAPXv28O233za6j2HDhtlHDM/NzeXo0aMAFBUVERoaSkREBOfPn2f7\n9u32OuHh4U7nRxo6dCgfffQRZWVllJaWsnXrVoYOHdrs87l69Srdulnned2wYYN9/ejRo2vdb7t8\n+TKDBg1i7969nDlzBsB+ia9nz57k5OQAkJOTY99eV0Pn17dvX3744Qeys7MB61QblZWVgHVyw/nz\n55OUlNTg5Iy3QhOUUsorOod2btY6V9xzzz0UFxfTrVs3una1zswzdepUDh48SP/+/Xnrrbfo169f\no/t4/PHHKSkpITo6mueff56EhATgxjQZCQkJtabJAJgzZw5jx461f0miRnx8PNOnT2fgwIEkJycz\na9Ysl+ZGWrRoEampqSQkJNS6v7Vw4UIuX75MTEwMFouFPXv2cNttt5GRkcGECROwWCz2HuTEiRMp\nLCzknnvuYdWqVdx9991Oj+XqNCBgvTTZoUMHj00LL9aRz1u3xMRE09TvGBqjE9VpDEBjAE1PWBgd\nHd2yDfICVybra61qYlBQUMDw4cM5efIk7do57+84e1+IyCFjTGJTx9EelFJKKZe99dZbJCcns3jx\n4gaT063SL0kopZRy2bRp05g2bZpHj6E9KKWU27SFWwaq+W71/aAJSinlFkFBQVy6dEmTlAKsyenS\npUsEBQXd9D70Ep9Syi26d+/OuXPnuHjxoreb4lHl5eW39KHbGjQ3BkFBQXTv3v2mj6MJSinlFgEB\nAfZRDFqzzMxMl74q3hq1VAw8eolPRMaKyCkR+UpEFjjZHiEin4jIERE5LiIzmqorIlEi8rmInLb9\n6/5fhymllPI6jyUoEfEDXgXGAb8EHhGRX9Yp9gSQZ4yxAMOBZSLSvom6C4C/G2P6AH+3LSullGpl\nPNmDGgh8ZYz5xhjzM/A+8Os6ZQwQLtZhhcOAQqCyibq/BmrG/NgA/MaD56CUUspLPHkPqhtw1mH5\nHJBcp8wq4GOgAAgH0owx1SLSWN3OxpgfbM9/BJyOjSIic4A5tsUSETkFRABXHYo1tuz4vBPwk/PT\nvCl1j3srZRvb7mybxqBtxaC56zUG3omBK+ffnPKuxMDVvw13xqBHs0oZYzzyAB4G1jgs/xZY5aTM\nXwEBfgGcATo0Vhe4Umcfl11oU0Zzl+s8P+jm2GS4q2xj251t0xi0rRg0d73GwDsxcOX83R0DV/82\nPPk+aOjhyUt83wN3Oix3t61zNAP40Fh9hTVB9Wui7nkR6Qpg+/eCC236xIXlutvcyZV9N1W2se3O\ntmkM2lYMmrteY+CdGLi6X3fGwNW/DU++D5zy2GCxIuIPfAmMxJpcsoEpxpjjDmVeB84bYxaJSGcg\nB7AAVxqqKyJLgUvGmCW2b/dFGWP+5JGTuNHOg6YZAxu2ZhoDjQFoDEBjAC0XA4/dgzLGVIrIfwE7\nAT9gnS3BzLVtfwN4GXhTRI5hvcz3jDHmJwBndW27XgJsEpGZwLfAJE+dg4OMFjiGr9MYaAxAYwAa\nA2ihGLSJ6TaUUkr9+9Gx+JRSSvkkTVBKKaV8kiYopZRSPkkTlFJKKZ+kCeoWiUi0iLwhIptF5HFv\nt8cbROQ3IrJaRDaKyBhvt8cbRKS3iKwVkc3ebktLEpFQEdlge/2ners93tBWX3tHnvoMaNMJSkTW\nicgFEcmts77RUdgdGWNOGGPmYv26+2BPttcT3BSDj4wxs4G5QJon2+sJborBN8aYmZ5tactwMR4T\ngM221z+lxRvrIa7EoDW99o5cjIFnPgNaYrgKX30Aw4B4INdhnR/wNdAbaA8cwTqien/g0zqP2211\nUoDtWH9M7PXz8kYMbPWWAfHePicvx2Czt8+nhePxLDDAVuZdb7fdGzFoTa+9G2Lg1s+ANj1hoTFm\nr4j0rLPaPpI6gIi8D/zaGPNn4FcN7Odj4GMR+V/gXc+12P3cEQPbaPRLgO3GmBzPttj93PU+aC1c\niQfWgZy7A4dpRVdkXIxBXsu2rmW4EgMROYEHPgNazRvKjZyNpN6tocIiMlxEVorI34DPPN24FuJS\nDIB5wCjg4ZqRQloBV98HHUXkDSBORJ71dOO8oKF4fAhMtA1b1uJjtbUwpzFoA6+9o4beBx75DGjT\nPSh3MMZkApleboZXGWNWAiu93Q5vMsZcwnr9vU0xxpRiHfS5zWqrr70jT30GaA+qvuaMwt7aaQw0\nBnVpPDQG0MIx0ARVXzbQR0R6iUh7YDLWSRXbEo2BxqAujYfGAFo4Bm06QYnIe8D/AX1F5JyIzDTG\nVAI1I6mfADYZhylCWhuNgcagLo2HxgB8IwY6mrlSSimf1KZ7UEoppXyXJiillFI+SROUUkopn6QJ\nSimllE/SBKWUUsonaYJSSinlkzRBKeUiEakSkcMikisiH4hIiLfbBCAiz7lpP38QkZO2c8wWkWnu\n2K9SrtIEpZTrrhljBhhjYoCfcWEcNhHx81yzcDlB1W2PbaDP0cBAY8wAYCQg7mmeUq7RBKXUrdkH\n/AJARD4SkUMiclxE5tQUEJESEVkmIkeAe0XkeVvPJFdEMmzTlSAimSLyVxE5KCInRCRJRD4UkdMi\n8j8O+3tURP5p6+H8TUT8RGQJEGxb905D5Zy1p875PAc8bowpAjDGFBljNngufEo1TBOUUjdJRPyB\nccAx26rHjDEJQCIwX0Q62taHAgeMMRZjTBawyhiTZOuBBVN7fqmfjTGJwBvANuAJIAaYbpvWIRrr\njKWDbT2cKmCqMWYBN3p2Uxsq10B7as6nAxBeM9ePUt6m020o5bpgETlse74PWGt7Pl9Extue3wn0\nAS5hTQ5bHOqPEJE/ASFAFHCcG3Mp1Qy8eQw4boz5AUBEvrHtcwiQAGTbOl7BwAUnbRzZSLm67VHK\nJ2mCUsp112y9EjsRGY51wrZ7jTFlIpIJBNk2lxtjqmzlgoDXgERjzFkRWeRQDuC67d9qh+c1y/5Y\n7wdtMMY0NTFeY+Xs7XFkjCmyXf7rrb0o5Qv0Ep9S7hEBXLYlp37AoAbK1SSjn0QkDHjYxeP8Heus\npbcDiEiUiPSwbasQkYBmlGvMn4FXbZf7EJEw/Raf8hbtQSnlHjuAuSJyAjgF7HdWyBhzRURWA7nA\nj1jn12k2Y0yeiCwEdolIO6AC632qb4EM4KiI5NjuQzVUrjGvA2FYLw1W2Ootc6WNSrmLTrehlFLK\nJ+klPqWUUj5JE5RSSimfpAlKKaWUT9IEpZRSyidpglJKKeWTNEEppZTySZqglFJK+aT/B4EpCMcV\n+qy9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104683c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if Version(sklearn_version) < '0.18':\n",
    "    from sklearn.learning_curve import validation_curve\n",
    "else:\n",
    "    from sklearn.model_selection import validation_curve\n",
    "\n",
    "\n",
    "\n",
    "param_range = [0.001, 0.01, 0.1, 1.0, 10.0, 100.0]\n",
    "train_scores, test_scores = validation_curve(\n",
    "                estimator=pipe_lr, \n",
    "                X=X_train, \n",
    "                y=y_train, \n",
    "                param_name='clf__C', \n",
    "                param_range=param_range,\n",
    "                cv=10)\n",
    "\n",
    "train_mean = np.mean(train_scores, axis=1)\n",
    "train_std = np.std(train_scores, axis=1)\n",
    "test_mean = np.mean(test_scores, axis=1)\n",
    "test_std = np.std(test_scores, axis=1)\n",
    "\n",
    "plt.plot(param_range, train_mean, \n",
    "         color='blue', marker='o', \n",
    "         markersize=5, label='training accuracy')\n",
    "\n",
    "plt.fill_between(param_range, train_mean + train_std,\n",
    "                 train_mean - train_std, alpha=0.15,\n",
    "                 color='blue')\n",
    "\n",
    "plt.plot(param_range, test_mean, \n",
    "         color='green', linestyle='--', \n",
    "         marker='s', markersize=5, \n",
    "         label='validation accuracy')\n",
    "\n",
    "plt.fill_between(param_range, \n",
    "                 test_mean + test_std,\n",
    "                 test_mean - test_std, \n",
    "                 alpha=0.15, color='green')\n",
    "\n",
    "plt.grid()\n",
    "plt.xscale('log')\n",
    "plt.legend(loc='lower right')\n",
    "plt.xlabel('Parameter C')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.ylim([0.8, 1.0])\n",
    "plt.tight_layout()\n",
    "# plt.savefig('./figures/validation_curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fine-tuning machine learning models via grid search"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tuning hyperparameters via grid search "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.978021978022\n",
      "{'clf__kernel': 'linear', 'clf__C': 0.1}\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "if Version(sklearn_version) < '0.18':\n",
    "    from sklearn.grid_search import GridSearchCV\n",
    "else:\n",
    "    from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "pipe_svc = Pipeline([('scl', StandardScaler()),\n",
    "            ('clf', SVC(random_state=1))])\n",
    "\n",
    "param_range = [0.0001, 0.001, 0.01, 0.1, 1.0, 10.0, 100.0, 1000.0]\n",
    "\n",
    "param_grid = [{'clf__C': param_range, \n",
    "               'clf__kernel': ['linear']},\n",
    "                 {'clf__C': param_range, \n",
    "                  'clf__gamma': param_range, \n",
    "                  'clf__kernel': ['rbf']}]\n",
    "\n",
    "gs = GridSearchCV(estimator=pipe_svc, \n",
    "                  param_grid=param_grid, \n",
    "                  scoring='accuracy', \n",
    "                  cv=10,\n",
    "                  n_jobs=-1)\n",
    "gs = gs.fit(X_train, y_train)\n",
    "print(gs.best_score_)\n",
    "print(gs.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 0.965\n"
     ]
    }
   ],
   "source": [
    "clf = gs.best_estimator_\n",
    "clf.fit(X_train, y_train)\n",
    "print('Test accuracy: %.3f' % clf.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Algorithm selection with nested cross-validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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ABEiABEiABEjAXwhQQPpLS9AOEiABEiABEiABEggQAhSQAdJQNJMESIAESIAE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22dZ6YXuE1pU/H8rBsqTQfUc8QIu93eUWg5iLW2DkD0VJN7W/KQk3Mcx4/n4HheHi4dNNqW5iBO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\nAv5D4P8BqMOcZL85k54AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 19,
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/06_07.png', width=500) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV accuracy: 0.965 +/- 0.025\n"
     ]
    }
   ],
   "source": [
    "gs = GridSearchCV(estimator=pipe_svc,\n",
    "                  param_grid=param_grid,\n",
    "                  scoring='accuracy',\n",
    "                  cv=2)\n",
    "\n",
    "# Note: Optionally, you could use cv=2 \n",
    "# in the GridSearchCV above to produce\n",
    "# the 5 x 2 nested CV that is shown in the figure.\n",
    "\n",
    "scores = cross_val_score(gs, X_train, y_train, scoring='accuracy', cv=5)\n",
    "print('CV accuracy: %.3f +/- %.3f' % (np.mean(scores), np.std(scores)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV accuracy: 0.921 +/- 0.029\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "gs = GridSearchCV(estimator=DecisionTreeClassifier(random_state=0),\n",
    "                  param_grid=[{'max_depth': [1, 2, 3, 4, 5, 6, 7, None]}],\n",
    "                  scoring='accuracy',\n",
    "                  cv=2)\n",
    "scores = cross_val_score(gs, X_train, y_train, scoring='accuracy', cv=5)\n",
    "print('CV accuracy: %.3f +/- %.3f' % (np.mean(scores), np.std(scores)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Looking at different performance evaluation metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading a confusion matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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oWL0rvPa4NRmwcX4YSsABBgMMcbkw5q+CpodHshhPBEhJjqfSVnNezRfx3tZU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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 22,
     "metadata": {
      "image/png": {
       "width": 300
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/06_08.png', width=300) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[71  1]\n",
      " [ 2 40]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "pipe_svc.fit(X_train, y_train)\n",
    "y_pred = pipe_svc.predict(X_test)\n",
    "confmat = confusion_matrix(y_true=y_test, y_pred=y_pred)\n",
    "print(confmat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKwAAACsCAYAAADmMUfYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njyBKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1157ec2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(2.5, 2.5))\n",
    "ax.matshow(confmat, cmap=plt.cm.Blues, alpha=0.3)\n",
    "for i in range(confmat.shape[0]):\n",
    "    for j in range(confmat.shape[1]):\n",
    "        ax.text(x=j, y=i, s=confmat[i, j], va='center', ha='center')\n",
    "\n",
    "plt.xlabel('predicted label')\n",
    "plt.ylabel('true label')\n",
    "\n",
    "plt.tight_layout()\n",
    "# plt.savefig('./figures/confusion_matrix.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Additional Note"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember that we previously encoded the class labels so that *malignant* samples are the \"postive\" class (1), and *benign* samples are the \"negative\" class (0):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "le.transform(['M', 'B'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[71  1]\n",
      " [ 2 40]]\n"
     ]
    }
   ],
   "source": [
    "confmat = confusion_matrix(y_true=y_test, y_pred=y_pred)\n",
    "print(confmat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we printed the confusion matrix like so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[71  1]\n",
      " [ 2 40]]\n"
     ]
    }
   ],
   "source": [
    "confmat = confusion_matrix(y_true=y_test, y_pred=y_pred)\n",
    "print(confmat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the (true) class 0 samples that are correctly predicted as class 0 (true negatives) are now in the upper left corner of the matrix (index 0, 0). In order to change the ordering so that the true negatives are in the lower right corner (index 1,1) and the true positves are in the upper left, we can use the `labels` argument like shown below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[40  2]\n",
      " [ 1 71]]\n"
     ]
    }
   ],
   "source": [
    "confmat = confusion_matrix(y_true=y_test, y_pred=y_pred, labels=[1, 0])\n",
    "print(confmat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We conclude:\n",
    "\n",
    "Assuming that class 1 (malignant) is the positive class in this example, our model correctly classified 71 of the samples that belong to class 0 (true negatives) and 40 samples that belong to class 1 (true positives), respectively. However, our model also incorrectly misclassified 1 sample from class 0 as class 1 (false positive), and it predicted that 2 samples are benign although it is a malignant tumor (false negatives)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Optimizing the precision and recall of a classification model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision: 0.976\n",
      "Recall: 0.952\n",
      "F1: 0.964\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import precision_score, recall_score, f1_score\n",
    "\n",
    "print('Precision: %.3f' % precision_score(y_true=y_test, y_pred=y_pred))\n",
    "print('Recall: %.3f' % recall_score(y_true=y_test, y_pred=y_pred))\n",
    "print('F1: %.3f' % f1_score(y_true=y_test, y_pred=y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.982798668208\n",
      "{'clf__kernel': 'linear', 'clf__C': 0.1}\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import make_scorer\n",
    "\n",
    "scorer = make_scorer(f1_score, pos_label=0)\n",
    "\n",
    "c_gamma_range = [0.01, 0.1, 1.0, 10.0]\n",
    "\n",
    "param_grid = [{'clf__C': c_gamma_range,\n",
    "               'clf__kernel': ['linear']},\n",
    "              {'clf__C': c_gamma_range,\n",
    "               'clf__gamma': c_gamma_range,\n",
    "               'clf__kernel': ['rbf']}]\n",
    "\n",
    "gs = GridSearchCV(estimator=pipe_svc,\n",
    "                  param_grid=param_grid,\n",
    "                  scoring=scorer,\n",
    "                  cv=10,\n",
    "                  n_jobs=-1)\n",
    "gs = gs.fit(X_train, y_train)\n",
    "print(gs.best_score_)\n",
    "print(gs.best_params_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting a receiver operating characteristic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VSrXEnLjvAu4usc9J4FYgTinVCGgHHHVgTEK4jby8PO68806u/XKNJ598kvj4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\nHwdT0ZXBwGlzAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1156e9860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve, auc\n",
    "from scipy import interp\n",
    "\n",
    "pipe_lr = Pipeline([('scl', StandardScaler()),\n",
    "                    ('pca', PCA(n_components=2)),\n",
    "                    ('clf', LogisticRegression(penalty='l2', \n",
    "                                               random_state=0, \n",
    "                                               C=100.0))])\n",
    "\n",
    "X_train2 = X_train[:, [4, 14]]\n",
    "\n",
    "\n",
    "if Version(sklearn_version) < '0.18':\n",
    "    cv = StratifiedKFold(y_train, \n",
    "                         n_folds=3, \n",
    "                         random_state=1)\n",
    "    \n",
    "else:\n",
    "    cv = list(StratifiedKFold(n_splits=3, \n",
    "                              random_state=1).split(X_train, y_train))\n",
    "\n",
    "fig = plt.figure(figsize=(7, 5))\n",
    "\n",
    "mean_tpr = 0.0\n",
    "mean_fpr = np.linspace(0, 1, 100)\n",
    "all_tpr = []\n",
    "\n",
    "for i, (train, test) in enumerate(cv):\n",
    "    probas = pipe_lr.fit(X_train2[train],\n",
    "                         y_train[train]).predict_proba(X_train2[test])\n",
    "\n",
    "    fpr, tpr, thresholds = roc_curve(y_train[test],\n",
    "                                     probas[:, 1],\n",
    "                                     pos_label=1)\n",
    "    mean_tpr += interp(mean_fpr, fpr, tpr)\n",
    "    mean_tpr[0] = 0.0\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    plt.plot(fpr,\n",
    "             tpr,\n",
    "             lw=1,\n",
    "             label='ROC fold %d (area = %0.2f)'\n",
    "                   % (i+1, roc_auc))\n",
    "\n",
    "plt.plot([0, 1],\n",
    "         [0, 1],\n",
    "         linestyle='--',\n",
    "         color=(0.6, 0.6, 0.6),\n",
    "         label='random guessing')\n",
    "\n",
    "mean_tpr /= len(cv)\n",
    "mean_tpr[-1] = 1.0\n",
    "mean_auc = auc(mean_fpr, mean_tpr)\n",
    "plt.plot(mean_fpr, mean_tpr, 'k--',\n",
    "         label='mean ROC (area = %0.2f)' % mean_auc, lw=2)\n",
    "plt.plot([0, 0, 1],\n",
    "         [0, 1, 1],\n",
    "         lw=2,\n",
    "         linestyle=':',\n",
    "         color='black',\n",
    "         label='perfect performance')\n",
    "\n",
    "plt.xlim([-0.05, 1.05])\n",
    "plt.ylim([-0.05, 1.05])\n",
    "plt.xlabel('false positive rate')\n",
    "plt.ylabel('true positive rate')\n",
    "plt.title('Receiver Operator Characteristic')\n",
    "plt.legend(loc=\"lower right\")\n",
    "\n",
    "plt.tight_layout()\n",
    "# plt.savefig('./figures/roc.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe_lr = pipe_lr.fit(X_train2, y_train)\n",
    "y_labels = pipe_lr.predict(X_test[:, [4, 14]])\n",
    "y_probas = pipe_lr.predict_proba(X_test[:, [4, 14]])[:, 1]\n",
    "# note that we use probabilities for roc_auc\n",
    "# the `[:, 1]` selects the positive class label only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROC AUC: 0.752\n",
      "Accuracy: 0.711\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import roc_auc_score, accuracy_score\n",
    "print('ROC AUC: %.3f' % roc_auc_score(y_true=y_test, y_score=y_probas))\n",
    "print('Accuracy: %.3f' % accuracy_score(y_true=y_test, y_pred=y_labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The scoring metrics for multiclass classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "pre_scorer = make_scorer(score_func=precision_score, \n",
    "                         pos_label=1, \n",
    "                         greater_is_better=True, \n",
    "                         average='micro')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "..."
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
